# SentiSight.ai --- ## Posts - [AI's Role in Deciphering Dolphins' Communication](https://www.sentisight.ai/ais-role-in-deciphering-dolphins-communication/): Google has entered the field of animal research in collaboration with other partners, the company is trying to understand dolphins. - [Trump on AI: Latest Views and Comments July 2025](https://www.sentisight.ai/trump-on-ai-latest-views-and-comments-july-2025/): President Trump announces $92 billion AI investments while targeting 'woke' chatbots. Latest developments in Trump's artificial intelligence strategy for American dominance. - [Ultimate 2025 ASI Guide: Artificial Superintelligence Explained](https://www.sentisight.ai/artificial-superintelligence-ultimate-guide/): Comprehensive guide to artificial superintelligence (ASI) in 2025. Learn key concepts, technologies, benefits, risks, and real-world applications. - [A New Tool for Video Creators: Instagram Introduces Edits](https://www.sentisight.ai/instagram-introduces-edits/): Instagram launches its own video creation platform, Edits, with plenty of features, some of which are similar to those of another video editing app. - [What Distinguishes Alibaba's Qwen3 AI Models in the Sector of Hybrid Reasoning?](https://www.sentisight.ai/what-distinguishes-alibabas-qwen3-ai-models/): A detailed report on Alibaba’s Qwen3 AI models, highlighting their hybrid reasoning system, efficient MoE architecture and more. - [Jasper: The Premium AI Content Writing Tool for You](https://www.sentisight.ai/jasper-the-premium-ai-content-writing-tool/): Jasper is one of the leaders in the market of content creation. In this article, we will cover its functionalities, pricing and more. - [Le Chat Enterprise: Mistral AI’s Expanding Vision for Business AI](https://www.sentisight.ai/le-chat-enterprise-by-mistral-ai/): Mistral AI launches Le Chat Enterprise, a business-focused AI assistant designed for secure, flexible deployment and seamless integration. - [AI Forecasting Tool Introduced by Google DeepMind](https://www.sentisight.ai/ai-forecasting-tool-by-google-deepmind/): Google DeepMind launches an innovative AI forecasting tool to help official institutions in better predicting cyclone trajectories and intensity. - [UK Cera App Provides AI-Powered Social Care](https://www.sentisight.ai/uk-cera-app-provides-ai-powered-social-care/): Healthcare sector is being transformed by AI and tools such as Cera, which can reduce the need for hospitalizations. - [Pictory AI — Level Up your Video Creation](https://www.sentisight.ai/pictory-ai-level-up-your-video-creation/): To streamline and professionalize your video creation process, Pictory offers a range of AI-powered tools for different formats. - [Pinterest to Regulate AI Content – Announces Introduction of New Features](https://www.sentisight.ai/pinterest-announces-introduction-of-new-features/): Pinterest is announcing about new steps on their platform to address the growing trend of AI-generated images. - [The Rise of Visual Services: Evolution of Poster Designing with AI](https://www.sentisight.ai/the-rise-of-visual-services-evolution-of-poster-designing-with-ai/): Nowadays, human interactions are based - [AI Forces Massive Data Industry Consolidation Wave](https://www.sentisight.ai/ai-forces-massive-data-industry-consolidation/): Enterprise AI adoption drives $300B+ data market consolidation. Databricks, Salesforce acquire startups to bridge data quality gaps for AI success. - [Google's Global AI Mode Expansion: India Becomes Second Market for Revolutionary Search Experience](https://www.sentisight.ai/googles-global-ai-mode-expansion-india/): Google's AI Mode search feature launches in India, bringing chatbot-style responses and advanced AI capabilities to millions of users in English. - [JOGG AI Next-Level AI Video Creation](https://www.sentisight.ai/jogg-ai-next-level-ai-video-creation/): Create professional AI-generated avatar videos in minutes with JOGG AI. Explore tools for realistic avatars and much more without filming or editing. - [Writing Better Prompts for ChatGPT and Other AI Tools: A Key Guide](https://www.sentisight.ai/writing-better-prompts-chatgpt-ai-tools-guide/): Learn expert techniques for writing effective AI prompts. Transform generic responses into targeted solutions with proven frameworks and strategies for ChatGPT success. - [AI vs Machine Learning vs Deep Learning: Key Differences](https://www.sentisight.ai/ai-vs-machine-learning-vs-deep-learning/): Discover the core differences between AI, machine learning, and deep learning. Learn how these technologies work together with real-world examples and practical applications. - [The Most Popular AI Search Engines for Users](https://www.sentisight.ai/most-popular-ai-search-engines-for-users/): Discover which AI search engines users prefer most in 2025. Compare ChatGPT, Perplexity, Claude, and other popular platforms based on real usage data and features. - [12 Free AI Tools Everyone Should Try in 2025](https://www.sentisight.ai/12-free-ai-tools-everyone-should-try-in-2025/): Transform your workflow with 12 powerful free AI tools for writing, design, coding, and productivity in 2025. Professional results without subscription costs. - [Avoid This When Entering Prompts for AI Search Tools](https://www.sentisight.ai/avoid-this-entering-prompts-ai-search-tools/): Discover the 9 most common AI prompting mistakes that ruin your ChatGPT, Claude, and Gemini results. Learn proven techniques for better AI responses today. - [How Beneficial Can AI Smart Tutors Be?](https://www.sentisight.ai/how-beneficial-can-ai-smart-tutors-be/): Discover how AI smart tutors revolutionize learning with personalized instruction, instant feedback, and adaptive technology. Compare AI vs human tutoring benefits. - [Productivity Perfected: The Top 10 AI Approaches](https://www.sentisight.ai/productivity-perfected-the-top-10-ai-approaches/): In this article, we provide 10 suggestions on how AI solutions can be valuable for their ability to enhance productivity. - [5 Top Ways to Optimize for AI Search Engines](https://www.sentisight.ai/5-top-ways-to-optimize-for-ai-search-engines/): Discover 5 proven strategies to optimize your content for AI search engines like ChatGPT, Claude, and Grok. Boost visibility with technical SEO tactics. - [How AEO/GEO/AIO Differs from Traditional SEO](https://www.sentisight.ai/how-seo-differs-from-aeo-geo-aio/): Discover how SEO is different from Answer Engine Optimization (AEO), Generative Engine Optimization (GEO), and AI Optimization (AIO) in content strategy, user behavior, and platform requirements. - [AI in Space Exploration: Enhancing Autonomous Capabilities](https://www.sentisight.ai/ai-in-space-exploration/): We discuss how data analysis, autonomous robots, and AI-driven solutions are creating new capabilities in AI in space exploration. - [How to Identify and Stay Ahead of AI Trends?](https://www.sentisight.ai/how-to-identify-and-stay-ahead-of-ai-trends/): By following AI trends, users – especially businesses – can stay competitive, modern, and productive. We'll discuss it in this article. - [The Human-AI Partnership: Finding the Right Balance](https://www.sentisight.ai/the-human-ai-partnership/): In this article, we cover strategies for effective human-AI collaboration, exploring when to automate, augment, evaluate, or lead. - [Opera’s Agentic Browser: The Future of Personalized Web Experiences](https://www.sentisight.ai/operas-agentic-browser/): Opera is seeking to transform traditional search methods with its innovative agentic browser and strengthening its position on the web. - [ProWritingAid – An Accurate AI Grammar Checker Tool](https://www.sentisight.ai/prowritingaid-an-accurate-ai-grammar-checker/): ProWritingAid is one of the powerful tools that supports professional writing, proving that AI technology can be helpful without being invasive. - [Bertha AI: Highly-Trained AI Content Generation Tool](https://www.sentisight.ai/bertha-ai-content-generation-tool/): Bertha AI is a unique AI writing and generation tool that integrates its features with WordPress and reduces the content generation burden. - [Meta's V-JEPA 2 Delivers Lightning-Fast Physical Intelligence](https://www.sentisight.ai/meta-v-jepa-2-light-fast-physical-intelligence/): Meta's V-JEPA 2 world model revolutionizes AI physical reasoning, training robots to understand gravity and environments 30x faster than Nvidia's Cosmos model. - [Comparing the Most Popular AI Laptops: Ultimate Comparison Guide](https://www.sentisight.ai/most-popular-ai-laptop-ultimate-comparison-guide/): Compare top AI laptops with NPU performance, battery life, and features. Expert reviews of ASUS, HP, Apple, and more to find your perfect AI computing solution. - [AI Agents Blur Business Boundaries](https://www.sentisight.ai/ai-agents-blur-business-boundaries/): Discover how AI agents revolutionize business by merging front-office CRM and back-office ERP systems, creating unified workflows that boost efficiency and reduce costs. - [Murf AI: AI-driven Voiceover Tool for Video Production](https://www.sentisight.ai/murf-ai-voiceover-tool-for-video-production/): There is a severe shortage of quality voice-over tools today, but Murf AI is one of the leaders in offering highly advanced voice technology. - [3 Big Reasons to be using an AI Laptop](https://www.sentisight.ai/3-big-reasons-to-be-using-an-ai-laptop/): Discover why AI laptops offer superior productivity, performance, and future-proof technology. Learn about NPU benefits and intelligent automation features. - [How to Boost Sales, Lead Generation and Deals using Laxis](https://www.sentisight.ai/boost-sales-lead-generation-deals-laxis/): Transform your sales process with Laxis AI. Automate lead generation, meeting notes & follow-ups. Trusted by 50K+ professionals. Try free today! - [Using Gong: Centralizing Revenue Workflows via AI](https://www.sentisight.ai/gong-centralize-revenue-workflows-via-ai/): Discover how Gong's AI-powered revenue platform streamlines sales workflows, improves forecasting accuracy, and drives pipeline growth for 4,500+ companies worldwide. - [Dynamic AI Video Generation from Text via Fliki](https://www.sentisight.ai/dynamic-ai-video-generation-from-text-via-fliki/): Fliki enters the market with innovative AI solutions for video creators, helping them attract user attention and create content more easily. - [Which LLM is the Best for Answering User Queries?](https://www.sentisight.ai/which-llm-best-answers-user-queries/): Compare Claude, ChatGPT, Gemini, Perplexity & Grok LLMs in 2025. Expert analysis of features, performance & best use cases to find your ideal AI assistant. - [5 Ways AI Marketing Can Help Grow Your Brand](https://www.sentisight.ai/5-ways-ai-marketing-can-help-grow-your-brand/): Discover how AI marketing transforms brand growth through personalization, automation, analytics, creative enhancement, and consistent identity management across channels. - [Where Search LLMs Crawl Their Data?](https://www.sentisight.ai/where-search-llms-crawl-data/): Discover where ChatGPT, Google AI, and Perplexity crawl their data. Analysis of 30M citations reveals distinct sourcing patterns for AI search optimization. - [Apple's New Strategy: AI-Driven App Discoverability on the App Store](https://www.sentisight.ai/apple-ai-tags-app-discoverability-app-store/): Apple improves App Store discovery with AI-powered tags. Learn how machine learning enhances app search, benefits developers, and transforms user experience. - [AI Fridge: How Samsung Used AI Vision Models for Smart Fridge](https://www.sentisight.ai/ai-fridge-how-samsung-used-ai/): Samsung is one of the brands that innovatively leverages AI capabilities in developing its electronics, such as an AI fridge with incredible features. - [What is SuperNODE? For Energy-efficient Scale-up AI Computing](https://www.sentisight.ai/supernode-energy-efficient-scale-up-ai-computing/): Discover SuperNODE: Revolutionary 32-GPU single-node AI supercomputer delivering 46,755 tokens/sec, 99.7% scaling efficiency, and simplified infrastructure for accelerated AI development. - [What is an AI Prompt Generator and How Can It Benefit You?](https://www.sentisight.ai/what-is-ai-prompt-generator-benefits/): Discover how AI prompt generators enhance creativity, overcome writer's block, and accelerate content creation. Learn best practices and top tools for better results. - [How AI Systems Address Attention Bias for Full Compliance](https://www.sentisight.ai/how-ai-systems-address-attention-bias-compliance/): Discover how AI systems eliminate attention bias through advanced detection, diverse datasets, and regulatory compliance strategies that ensure fair outcomes for all users. - [How Reliable and Accurate Are AI Trading Bots?](https://www.sentisight.ai/how-reliable-and-accurate-are-ai-trading-bots/): Discover truth about AI trading bot reliability and accuracy. Expert analysis reveals why most success stories are luck, not algorithmic skill. Learn the real risks. - [Claude 3.5 Sonnet vs GPT-4o: The Ultimate Comparison](https://www.sentisight.ai/claude-3-5-sonnet-vs-gpt-4o-ultimate-comparison/): Comprehensive comparison of Claude 3.5 Sonnet vs GPT-4o covering coding, writing, speed, and pricing. Find the best AI model for your needs with detailed benchmarks and real-world testing. - [QuillBot: The Accurate and Efficient AI Writing Tool](https://www.sentisight.ai/quillbot-the-accurate-and-efficient-ai-writing-tool/): QuillBot is an AI-powered writing tool offering paraphrasing, grammar checking, summarization, and more. In this article, we will explore its features. - [Animated Realities: Inside Character.AI’s AvatarFX](https://www.sentisight.ai/animated-realities-inside-character-ais-avatarfx/): Character.AI unveils AvatarFX, a video-generation model that animates AI characters with striking realism and control. - [OpenAI Unveils o3-pro: Advanced Reasoning Model Surpasses Competition in Benchmark Tests](https://www.sentisight.ai/openai-unveils-o3-pro-advanced-reasoning-model-surpasses-competition-in-benchmark-tests/): OpenAI's new o3-pro reasoning model demonstrates superior performance over Google Gemini 2.5 Pro and Anthropic's Claude 4 Opus, featuring enhanced problem-solving capabilities and comprehensive tool integration for professional users. - [Perplexity's Challenge to Google's Search Dominance](https://www.sentisight.ai/perplexitys-challenge-to-googles-search-dominance/): In recent years, Google’s dominance in the search engine market could be challenged by other technology companies like Perplexity. - [Microsoft's Analyst Agent: A New Chapter in Business Intelligence](https://www.sentisight.ai/microsofts-analyst-agent-a-new-chapter-in-business-intelligence/): Microsoft's Analyst Agent in M365 Copilot enhances business intelligence by making data analysis more accessible. - [3 Key Reasons to Elevate Business Operations using Lusha](https://www.sentisight.ai/3-reasons-elevate-business-using-lusha/): Transform your sales process with Lusha's AI-powered prospecting platform. Discover accurate B2B data, automated outreach, and intelligent lead generation that drives real results for revenue teams. - [How Old is AI?](https://www.sentisight.ai/how-old-is-ai/): In this article, we present the biggest milestones in the history of machine learning that led to the creation of AI. - [AI in the PGA Tour: Transforming How Fans Experience Golf](https://www.sentisight.ai/ai-in-the-pga-tour-transforming-how-fans-experience/): AI-powered shot commentary in the PGA TOUR’s TOURCAST enhances golf coverage by providing real-time insights. - [In the Race of Virtual Assistants: Anticipated Apple Siri Upgrade](https://www.sentisight.ai/in-the-race-of-virtual-assistants-anticipated-apple-siri-upgrade/): While Apple users are waiting for Siri upgrades, we analyse the anticipated virtual assistant functions and the market situation. - [A Leaner Future for AI: Inside Microsoft’s BitNet](https://www.sentisight.ai/a-leaner-future-for-ai-inside-microsofts-bitnet/): Microsoft introduces BitNet b1.58 2B4T, a 1-bit AI model designed to run efficiently on CPUs. This article explores its structure and performance. - [Zeligate: The Best Privacy-focused AI for streamlined Hiring and Workforce Management](https://www.sentisight.ai/zeligate-best-ai-hiring-workforce-management/): Zeligate transforms hiring with AI co-workers that screen candidates, write job descriptions, and automate recruitment. Save 47 hours per hire with privacy-focused AI. - [Reach New Levels of Business Productivity through Motion AI](https://www.sentisight.ai/new-levels-of-business-productivity-motion-ai/): Discover Motion AI - the all-in-one productivity platform that automates project management, scheduling, and task planning. Learn pricing, features, and real user results. - [Why You Should Be Using Castmagic for Content Automation](https://www.sentisight.ai/why-you-should-use-castmagic-content-automation/): Discover how Castmagic transforms one recording into 100+ content pieces. Complete pricing guide, features, and AI-powered automation benefits for creators. - [Don't Miss Out on Unprecedented Project Management at Scale via Motion.IO](https://www.sentisight.ai/superb-project-management-at-scale-motion-io/): Transform client project management with Motion.io's AI-powered platform. Streamline workflows, automate client communication, and scale operations effortlessly. - [AI Image Generation „4o“ Reaching New Bounds with Astounding Imagery](https://www.sentisight.ai/ai-image-generation-4o-reaching-new-bounds-with-astounding-imagery/): The latest OpenAI update of ChatGPT image generator showcases the newest AI capabilities, 4o’s ability to create realistic images is striking. - [Google's Gemini AI Now Enhances Chrome Browsing Experience](https://www.sentisight.ai/google-gemini-ai-enhances-chrome-browser/): Google integrates Gemini AI into Chrome browser, offering webpage summaries, multi-tab analysis, and intelligent navigation features for desktop users. - [Chatbots as the Go-To Starting Point for New Client Engagements](https://www.sentisight.ai/chatbots-as-the-go-to-starting-point-for-new-client-engagements/): Clients expect fast and clear - [Neuromorphic Computing: Learn About AI Mimicking the Human Brain](https://www.sentisight.ai/neuromorphic-computing-learn-about-ai-mimicking-the-human-brain/): Neuromorphic computing is a new alternative to traditional computing methods. We will discuss this technology in greater detail in this article. - [20 Most Interesting Applications of Manus AI](https://www.sentisight.ai/20-most-interesting-applications-of-manus-ai/): Manus AI, an autonomous agent, is changing industries by handling complex tasks with minimal oversight. We provide 20 interesting applications. - [The Intersection of AI and Quantum Computing](https://www.sentisight.ai/the-intersection-of-ai-and-quantum-computing/): Discover how artificial intelligence and quantum computing merge to create breakthrough technologies, from error correction to physics-based AI training data generation. - [AI Budgeting: Slash Costs with Smarter Decisions](https://www.sentisight.ai/ai-budgeting-slash-costs-with-smarter-decisions/): Nowadays, innovative AI budgeting tools can help effectively manage daily financial decision-making for individuals and corporations. - [ThinkDiffusion: Full-service AI Art Studio You Need to Try!](https://www.sentisight.ai/thinkdiffusion-ai-art-studio-you-need-to-try/): Discover ThinkDiffusion's cloud-based AI art platform with Stable Diffusion, ComfyUI, and more. Create professional AI artwork without expensive hardware. Try free today! - [Our In-depth Review of Canva's AI Platform Features](https://www.sentisight.ai/our-in-depth-review-canvas-ai-features/): Discover Canva's revolutionary AI-powered design platform with comprehensive features, pricing, and tools that transform creative workflows for individuals and teams. - [Can You Trust AI to Fix Your Car?](https://www.sentisight.ai/can-you-trust-ai-to-fix-your-car/): Mechanics have long had to deal with customers turning up with their own ideas of what is wrong with their car, but is AI helping to change that? - [Create Captivating Short Videos in Bulk with Short AI](https://www.sentisight.ai/create-captivating-short-videos-in-bulk-short-ai/): Discover how Short AI automates bulk video creation, generates engaging captions, and schedules posts across platforms. Complete pricing guide and creator success stories. - [AI Chatbots vs. Traditional Search Engines: A Shift in How We Find Information](https://www.sentisight.ai/ai-chatbots-vs-traditional-search-engines-a-shift-in-how-we-find-information/): AI chatbots are changing how people search for information, offering direct, ad-free responses instead of traditional search engine results. - [All You Need to Know About Alibaba's New Quark AI Assistant Release](https://www.sentisight.ai/all-you-need-to-know-about-alibabas-new-quark-ai-assistant-release/): The competition in China continues as Alibaba introduces its latest version of the Quark AI assistant. - [AI2's Olmo 2 1B: Small but Mighty AI Model Outperforms Tech Giants](https://www.sentisight.ai/ai2s-olmo-2-1b-ai-model-outperforms-tech-giants/): AI2's Olmo 2 1B, a fully replicable small language model, surpasses alternatives from Google, Meta, and Alibaba, running on everyday hardware. - [ChatGPT's Evolution: From Text Generator to AI Powerhouse](https://www.sentisight.ai/chatgpt-evolution-ai-powerhouse/): Explore ChatGPT's remarkable journey from simple text generation to a 400M-user AI platform with voice, vision, and reasoning capabilities. - [AI in the Travel Industry: A Shake-up in Tourism](https://www.sentisight.ai/ai-in-the-travel-industry-a-shake-up-in-tourism/): AI is transforming the travel industry and tourism with innovative solutions for business and travellers. - [AI Tattoo Designer BlackInk AI Reshaping Creativity for Tattoo Lovers](https://www.sentisight.ai/ai-tattoo-designer-blackink-ai-creativity-lovers/): BlackInk AI infuses tattoo design with personalized AI-generated art, empowers both first-timers and ink enthusiasts to create unique body art in seconds. - [Ink Studio AI: Modern and Advanced Tattoo Design as a Premium Choice](https://www.sentisight.ai/ink-studio-ai-modern-advanced-tattoo-design/): Discover how Ink Studio AI revolutionizes tattoo design with advanced AI technology, offering unlimited custom designs in multiple styles with subscription-free pricing. - [Microsoft's Muse and Its Impact on Game Development](https://www.sentisight.ai/microsofts-muse-model-and-its-impact-on-game-development/): Microsoft’s Muse model, developed with Xbox Game Studios, generates gameplay visuals and controller actions from real-world player data. - [Is AI-powered Web Design & Developed by Hostinger AI a good choice?](https://www.sentisight.ai/ai-powered-web-design-hostinger-ai-good-choice/): Discover if Hostinger's AI-powered web design and hosting solutions are right for your business in 2025. Comprehensive review of features, pricing, and performance. - [Quality Social Media Content Production Courtesy of Ocoya](https://www.sentisight.ai/quality-social-media-content-production-ocoya/): Discover how Ocoya combines AI writing, design tools, scheduling, and analytics to revolutionize your social media strategy across all major platforms. - [Amazon's AI Use to Prevent Fraud and Counterfeit Threats](https://www.sentisight.ai/amazons-ai-use-to-prevent-fraud-and-counterfeit-threats/): In this dynamic technological age, companies, including Amazon, are aiming to reduce fraud and counterfeit threats using artificial intelligence. - [Produce Great Content at speed that is SEO Optimized with NeuralText](https://www.sentisight.ai/neuraltext-ai-content-seo-optimization/): Creating high-quality, SEO-optimized content at scale is important for businesses. NeuralText offers AI-powered platform transforming entire content creation process. - [Build your dream website with an AI-Web Builder like Durable](https://www.sentisight.ai/build-dream-website-ai-web-builder-durable/): Discover how Durable AI website builder creates professional sites in seconds, with built-in SEO, blogging, and branding tools to grow your online business effortlessly. - [Tinder Launches AI-Powered Game to Assess Users' Flirting Skills](https://www.sentisight.ai/tinder-launches-ai-powered-game-to-assess-users-flirting-skills/): Tinder launches a unique feature called The Game Game. It is a new experience for users who want to test their flirting abilities. - [AI Integration in Streaming Services](https://www.sentisight.ai/ai-integration-in-streaming-services/): AI is transforming streaming services by improving personalization, content moderation, search capabilities, and accessibility. - [Super AI vs General AI vs Narrow AI: Detailed Comparison Guide](https://www.sentisight.ai/super-ai-vs-general-ai-vs-narrow-ai-detailed/): Explore the evolution of artificial intelligence, from narrow AI to General AI, how they differ and their advantages. - [LANDR: AI Music Platform for Premium Mastering, Distribution and Collaboration](https://www.sentisight.ai/landr-ai-music-mastering-collab-distribution/): Unlock your music's full potential with LANDR's AI-powered platform featuring industry-leading mastering, worldwide distribution, and innovative collaboration tools for modern musicians. - [Rapid AI Development: 3 Key Reasons](https://www.sentisight.ai/rapid-ai-development-3-key-reasons/): We see rapid AI development in the market. It is important to understand that it occurs due to many points, which we analyse in this article. - [Surfer: AI-driven Tool for High Performance SEO](https://www.sentisight.ai/surfer-ai-driven-tool-for-high-performance-seo/): Surfer is one of the - [Skype Steps Down: Who Will Take Its Place in the World of Virtual Communication?](https://www.sentisight.ai/skype-steps-down-who-will-take-its-place-in-the-world-of-virtual-communication/): After two decades of providing virtual communication services, Microsoft is shutting down Skype. We provide several virtual communication options. - [What Is An AI Affiliate Marketing & How Can It Be Of Value To You?](https://www.sentisight.ai/what-is-an-ai-affiliate-marketing-how-can-it-be-of-value-to-you/): Explore how AI affiliate marketing is streamlining operations—from smarter product selection to real-time campaign optimization. - [Google's AI Mode: Reshaping the Future of Search](https://www.sentisight.ai/google-ai-mode-reshaping-future-of-search/): Google's AI Mode is expected to augment search with conversational AI responses, visual cards, and persistent conversations. What this means for SEO? - [AI in Law Enforcement: Enhancing Digital Evidence Management](https://www.sentisight.ai/ai-law-enforcement-digital-evidence-management/): Discover how AI improves law enforcement through intelligent evidence management, facial recognition, and forensic tools like Neurotechnology's MegaMatcher suite. - [Generative AI in Advertising: Transforming Creative Production in Microsoft Style](https://www.sentisight.ai/generative-ai-advertising-transform-creativity/): Generative AI is cutting costs by 90% in advertising production while expanding creative possibilities, as demonstrated by Microsoft's groundbreaking Surface ad campaign. - [Sony Will Change the Gaming World with AI Characters](https://www.sentisight.ai/sony-will-change-the-gaming-world-with-ai-characters/): Sony has introduced its prototype for future AI characters. In the future, this innovation could improve the gaming experience for users. - [Automate Customer Interactions & Develop an AI Call System via Synthflow AI](https://www.sentisight.ai/synthflow-ai-automate-customer-interactions/): Transform your customer communication strategy - [Using RunPod: The AI Cloud Platform for Running Full-Stack AI Apps](https://www.sentisight.ai/runpod-ai-cloud-platform-full-stack-ai-apps/): When working with AI development, having access to powerful GPU resources is essential for developing, training, and deploying AI models. RunPod makes all this just easier. - [What is Claude 3.7 Sonnet? Everything You Should Know](https://www.sentisight.ai/what-is-claude-3-7-sonnet-everything-you-should-know/): Anthropic presents its latest AI model, Claude 3.7 Sonnet. It has a huge potential in complex problem solving. --- ## Pages - [Test](https://www.sentisight.ai/test/) - [Home news](https://www.sentisight.ai/): A place to build your own image recognition AI. Login to implement modern deep learning techniques interactively with no coding at all. - [Write For Us](https://www.sentisight.ai/write-for-us/) - [Machine Learning Platform](https://www.sentisight.ai/machine-learning-platform-for-image-recognition/): A place to build your own image recognition AI. Login to implement modern deep learning techniques interactively with no coding at all. - [Thank you](https://www.sentisight.ai/thank-you/): Thank you for your inquiry. - [SentiSight.ai’s pre-trained OCR model for better character and text recognition](https://www.sentisight.ai/solutions/sentisight-ais-pre-trained-ocr-model-for-better-character-and-text-recognition/) - [Background Removal](https://www.sentisight.ai/solutions/background-removal/) - [Image Recognition via the SentiSight.ai Machine Learning Platform](https://www.sentisight.ai/solutions/image-recognition-via-the-sentisight-ai-machine-learning-platform/) - [Visual Data Handling Made Easy with SentiSight.ai Image Recognition API solution](https://www.sentisight.ai/solutions/visual-data-handling-made-easy-with-sentisight-ai-image-recognition-api-solution/) - [NSFW Detection pre-trained model](https://www.sentisight.ai/solutions/nsfw-detection-pre-trained-model/) - [Intelligent Automation Consulting](https://www.sentisight.ai/solutions/intelligent-automation-consulting/): Is your business looking to harness the power of Intelligent Automation? As experts in the field of computer vision, our SentiSight.ai team are here to help you courtesy of our computer vision consulting service. Get started here! - [Pre-trained models](https://www.sentisight.ai/solutions/pre-trained-models/): Make use of SentiSight.ai’s pre-trained models that are already trained and ready to be implemented for your needs. Our pre-trained models cover a variety of use cases such as NSFW classification and optical character recognition. Get started here. - [Using pre-trained models](https://www.sentisight.ai/user-guide/using-pre-trained-models-2/): To get started you can use one of the pre-trained models available - General classification, Places classification, NSFW classification & Object detection. - [AI Alt Text Generator API](https://www.sentisight.ai/automated-alt-text-api/): Automatically add alt text to your images using our image recognition API, helping search engines to understand the content on your website. Get started here today... - [Computer vision consulting](https://www.sentisight.ai/solutions/computer-vision-consulting/): Is your business looking to harness the power of Computer Vision? As experts in the field, our SentiSight.ai team are here to help you courtesy of our computer vision consulting service. Get started here! - [Image Annotation Platform for Agencies](https://www.sentisight.ai/image-annotation-platform-for-agencies/): The SentiSight platform has been designed with image annotation agencies in mind, with powerful tools and time tracking capabilities - [Artificial Intelligence in Manufacturing](https://www.sentisight.ai/artificial-intelligence-manufacturing/): At SentiSight.ai, we offer custom solutions for manufacturers that require modern artificial intelligence technology to enhance and grow their business. Check out the problems we solve here... - [Image Segmentation](https://www.sentisight.ai/user-guide/image-segmentation-2/) - [Image Recognition For Retail](https://www.sentisight.ai/image-recognition-for-retail/): SentiSight.ai offers a wide array of image recognition model solutions that can be tailored towards the specific requirements of your retail business. - [SentiSight.ai Mobile APP](https://www.sentisight.ai/user-guide/mobile-app/) - [Instance Segmentation](https://www.sentisight.ai/solutions/instance-segmentation/): Use SentiSight.ai to build and train your own instance segmentation models that can identify and locate objects within images. There are many different use cases for instance segmentation, login and begin training your model with our innovative platform. - [Image Segmentation](https://www.sentisight.ai/solutions/image-segmentation/): Use SentiSight.ai to build and train your own image segmentation models that can identify and locate objects within images. There are many different use cases for image segmentation, login and begin training your model with our innovative platform. - [Image Segmentation](https://www.sentisight.ai/user-guide/image-segmentation/) - [Wallet Info](https://www.sentisight.ai/wallet-info/) - [Labeling Project Management](https://www.sentisight.ai/user-guide/project-management/) - [Student Special Offer](https://www.sentisight.ai/student-special-offer/) - [Image Labeling](https://www.sentisight.ai/user-guide/image-labeling/) - [Pricing](https://www.sentisight.ai/pricing/): Models can be used either online, via the web interface or our REST API server, or offline, by downloading the model and setting up a local REST API server. - [Image annotation](https://www.sentisight.ai/solutions/image-annotation/): Use SentiSight.ai with its range of AI-assisted image annotation services which provide tools to help improve your image recognition model training. - [Labeling by similarity](https://www.sentisight.ai/user-guide/label-by-similarity/) - [Feedback](https://www.sentisight.ai/feedback/): Please, help us to shape the future of SentiSight.ai! We are giving 5 EUR of complimentary SentiSight.ai credits for everyone who fills in the survey. - [Bug report](https://www.sentisight.ai/bug-report/): Fill out the form to disclose any issues you are experiencing with our platform and our team will work on fixing them as soon as possible to improve your experience using SentiSight,ai. - [Image similarity search tutorials](https://www.sentisight.ai/video-tutorials/image-similarity-search-tutorials/): Learn how to use 1vN & NvN similarity search. Learn how to label by image similarity feature. Performing AI-assisted labeling iteratively. - [Testimonials](https://www.sentisight.ai/testimonials/) - [SentiSight.ai Image Annotation Webinar](https://www.sentisight.ai/webinar/): We are organizing a webinar Oct 6th at 1 p.m. EEST. SentiSight.ai image annotation functionality. Learn to annotate your images, use similarity and more. - [Shop](https://www.sentisight.ai/shop/) - [Object detection](https://www.sentisight.ai/user-guide/object-detection/): Object detection is an advanced form of machine learning that predicts which parts of an image contain certain elements that it has been trained to recognize. - [Using image operations via API](https://www.sentisight.ai/user-guide/using-image-operations-via-api/): Image Operations via REST API - [FAQ](https://www.sentisight.ai/faq/): Read our FAQ's to help you understand how to use the SentiSight.ai platform. - [Image similarity search](https://www.sentisight.ai/solutions/image-similarity-search/): Use SentiSight.ai to build your very own image similarity search model. Train your model to find visually similar images to one that is uploaded, helping you quickly sort through large datasets of images. Get started on our platform here. - [Image classification](https://www.sentisight.ai/solutions/image-classification/): Use SentiSight.ai to train your own image classification model that can predict the content of images. Whether you want to train a single-label or multi-label classification model, our platform can help you train your desired model. Get started here. - [Solutions](https://www.sentisight.ai/solutions/): Image labeling and recognition - object detection, image classification, image similarity search, image annotation, pre - trained models and customs projects. - [Object detection](https://www.sentisight.ai/solutions/object-detection/): Use SentiSight.ai to build and train your own object detection models that can identify and locate objects within images. There are many different use cases for object detection, login and begin training your model with our innovative platform. - [Image classification](https://www.sentisight.ai/user-guide/image-classification-training/): Image classification refers to a type of model training that predicts whether an image belongs to a certain category. - [Using pre-trained models](https://www.sentisight.ai/user-guide/using-pre-trained-models/): To get started you can use one of the pre-trained models available - General classification, Places classification, NSFW classification & Object detection. - [Blog](https://www.sentisight.ai/blog/): This blog is all about image recognition, detection, AI technology, and image labeling for your neural network projects. - [Image labeling tutorials](https://www.sentisight.ai/video-tutorials/image-labeling-tutorials/): Watch video tutorials to learn how to label images using labeling tool. Learn to manage the labeling process by sharing projects with your colleges. - [Image labeling](https://www.sentisight.ai/user-guide/image-labeling-tool/): We offer a powerful image labeling tool that allows drawing bounding boxes, polygons, bitmaps, polylines & points. We call all of these labels - object labels. - [Label images](https://www.sentisight.ai/user-guide/label-images/): To train an image recognition model you need to have labeled images. Labelers have to look through the images and mark particular objects. - [Using image similarity search](https://www.sentisight.ai/user-guide/using-image-similarity-search/): The image similarity search tool helps you to find similar images in your data set. The similarity search tool does not require image labeling nor model training. - [Classification video tutorials](https://www.sentisight.ai/video-tutorials/classification-video-tutorials/): Learn to train single / multiple classification models. Learn to label, adjust, or change labels for training. - [Video tutorials](https://www.sentisight.ai/video-tutorials/): Learn to use SentiSight.ai image labeling & recognition web platform by watching informative video tutorials. - [Changelog](https://www.sentisight.ai/changelog/): Latest update: AI-assisted image labeling for classification and object detection. Possibility to review, correct and filter AI-assisted labels. - [Terms of Use](https://www.sentisight.ai/terms-of-use/): Thank you for visiting our - [Data Transfer Agreement](https://www.sentisight.ai/data-transfer-agreement/): Neurotechnology UAB (company code: 120441850 - [Company](https://www.sentisight.ai/company/): Neurotechnology was started with the key idea of using neural networks for applications such as biometric person identification, computer vision, robotics & AI. - [About](https://www.sentisight.ai/about/): SentiSight.ai is a web-based platform that can be used for image labeling and for developing AI-based image recognition applications. - [User guide](https://www.sentisight.ai/user-guide/): Here are the five simple Do-It-Yourself steps to get your model ready with SentiSight.ai image recognition platform. - [Custom projects](https://www.sentisight.ai/solutions/custom-projects/): Some image recognition tasks have specific requirements and cannot be completed using the automated system. Consider requesting a custom project. - [Contact us](https://www.sentisight.ai/contacts/): SentiSight is run by Neurotechnology. Laisves av. 125A, Vilnius, LT-06118, Lithuania. +370 5 277 3315. - [Privacy Policy](https://www.sentisight.ai/privacy-policy/): At Neurotechnology UAB (company code: --- # # Detailed Content ## Posts Dolphins have long been considered some of the most intelligent animals on Earth, with their impact also recognized in health improvement as one of the therapeutic methods. And now, in the age of technology, unprecedented opportunities and potential are opening up to understand the communication between these remarkable animals. This path is being opened by artificial intelligence (AI) and Google’s application of it. Google Takes First Steps in Decoding Dolphin Communication Just recently, on April 14, Google announced that its newly developed DolphinGemma large language model will assist scientists who study the communication of these creatures and aim to uncover the nature of how these animals interact. In collaboration with researchers at Georgia Tech and the fieldwork team of the Wild Dolphin Project (WDP), Google is developing a core AI model trained to learn the structure of these animals' vocalizations and to generate new sequences of sounds that resemble those used by dolphins. The Capabilities of the DolphinGemma Model The AI model introduced by Google utilizes the company’s specific audio technology – SoundStream token generators to represent animal sounds. These captured sounds are then processed through the model’s architecture. Essentially, it is a medium-sized model with around 400 million parameters, operating directly on Pixel phones used by the WDP. Google’s model is based on the advanced open model collection called Gemma, whose technologies and research are similar to the Gemini models. The model is trained on a 40-year dataset of Atlantic spotted dolphin vocalizations. Over time, the AI model will... --- U. S. Presidential Vision Drives American AI Supremacy President Donald Trump has positioned artificial intelligence as a cornerstone of American technological dominance, unveiling a comprehensive strategy that combines massive infrastructure investments with regulatory reforms targeting perceived political bias in AI systems. Recent developments showcase Trump on AI taking decisive action across multiple fronts to cement America's leadership position globally. The administration's approach reflects a dual strategy: pouring unprecedented resources into AI development while simultaneously addressing concerns about ideological bias in current AI systems. This multifaceted agenda demonstrates how Trump on AI policy extends beyond simple technological advancement to encompass broader cultural and political considerations. Trump during the Pennsylvania Energy & Innovation Summit. Image credit: The White House Executive Action Against Perceived AI Bias The White House is preparing an executive order targeting what officials characterize as "woke" artificial intelligence systems. This forthcoming directive would prohibit technology companies from securing government contracts if their AI systems fail to maintain political neutrality, according to reports from the Wall Street Journal. The policy stems from high-profile incidents involving major technology companies. Google's Gemini chatbot generated significant controversy after producing historically inaccurate images, including racially diverse depictions of Nazis and black founding fathers. Similar issues emerged with Meta's AI systems, prompting widespread criticism about diversity initiatives affecting AI accuracy. These technical failures captured attention from David Sacks and Sriram Krishnan, Trump's designated AI advisers, who view such incidents as evidence of systematic bias requiring federal intervention. The executive order represents the administration's response to... --- Understanding Artificial Superintelligence: Beyond Human Cognitive Limits Artificial superintelligence represents the theoretical pinnacle of machine intelligence—a software-based system that exceeds human cognitive abilities across every domain of knowledge and reasoning. Unlike today's narrow AI systems that excel at specific tasks, ASI would demonstrate superior performance in creativity, problem-solving, social interaction, and scientific discovery. Current AI systems operate within strict boundaries. Your smartphone's virtual assistant excels at voice recognition but cannot solve complex mathematical theorems. Self-driving cars navigate roads brilliantly yet lack the ability to compose poetry. ASI transcends these limitations, combining and surpassing human-level capabilities across all intellectual domains simultaneously. The distinction matters because today's most advanced AI systems essentially are artificial narrow intelligence (ANI)—sophisticated but limited tools designed for specific purposes. ASI represents a fundamental leap beyond these constraints, potentially marking the last invention humanity needs to create. Artificial Superintelligence (ASI) - artistic concept. Image credit: Alius Noreika / AI The Technology Architecture Powering Superintelligent Systems Large Language Models: The Foundation of Machine Communication Advanced language models form the cornerstone of ASI development. These systems process vast datasets using natural language processing algorithms to understand and generate human communication. Current models like GPT-4 and BERT demonstrate impressive capabilities in text generation, conversation, and content creation, but artificial superintelligence would require exponentially more sophisticated language understanding. The evolution from today's language models to superintelligent communication involves processing not just words and sentences, but context, subtext, cultural nuances, and emotional intelligence. ASI systems must interpret sarcasm, understand metaphors, and engage in... --- Videos are one of the most reliable, engaging, and attractive tools for professionals across various fields. While not everyone is advanced in video production and editing, today’s technology and artificial intelligence (AI) provide the opportunity for anyone to easily create and edit content. Recently, Instagram introduced a new video editing app Edits, which we will explore further in this article. Instagram Opens New Possibilities for Creators with Edits On April 22, one of the world’s most well-known and popular social networking platforms for sharing photos and videos, Instagram, announced the launch of Edits – a new video creation app targeted at content creators. Edits logo. Image source: Instagram According to the company, this will further support one of Instagram’s main goals – to help people express their creativity. The platform provides all the necessary tools for the creative process in one place. This means that creators can manage the entire process in one place from start to finish: developing ideas, managing projects, editing, and exporting. The app comes with a range of new features such as a high-quality camera, a precise timeline, and visual effects. To optimize their work, creators will also be able to explore and draw inspiration from trending videos and audio tracks directly within the platform. The following features are included: Multistream editing – the platform allows video editing using a timeline with multiple video streams. Project management – as mentioned, users can manage several projects in one place. Notes – a unique feature that allows archiving... --- A New Contender in the AI Arena In the expanding landscape of artificial intelligence, Alibaba’s release of its Qwen3 model suite signals a notable development—not through dramatic novelty, but through refinement, scale, and thoughtful architecture. Introduced as a family of open-weight models, Qwen3 spans a range of capabilities from compact to research-grade systems, some of which rival leading offerings from Western companies like OpenAI and Google. What sets Qwen3 apart is its ambition to combine flexible deployment, competitive reasoning capabilities, and open accessibility—a trifecta that underscores the increasing relevance of Chinese labs in global AI discourse. But beneath the headlines, the real story lies in how Qwen3 structures its "hybrid reasoning" system, offering users nuanced control over how intelligence is applied in different contexts. Thinking on Demand: The Hybrid Reasoning Model At the heart of Qwen3’s identity is its dual-mode architecture: "thinking" and "non-thinking" modes. This approach allows the model to toggle between high-effort reasoning for complex tasks and rapid, cost-efficient responses for simpler queries. Image source: Business Standard Rather than always deploying full computational resources, Qwen3 can be prompted to pause and engage in more deliberate problem-solving when necessary—particularly useful for challenges in math, logic, and code. For day-to-day instructions or language tasks, the model delivers quick answers without compromising fluency. This hybrid approach is more than a gimmick. It reflects a broader movement in AI research toward cost-aware inference and human-like adaptability. Users can set a “thinking budget,” adjusting the depth of reasoning based on task requirements—an efficiency... --- Artificial Intelligence (AI) has become an integral part of modern, innovative, and high-quality creative work. One of the leading players in this field is Jasper, offering advanced solutions for marketing, providing powerful brand management and AI toolkits. Jasper is What Your Marketing Needs Jasper empowers marketers to easily turn their visions into reality, with innovation and AI being the best tools to do so. So, how does this company manage to achieve the best results and what makes it stand out? With AI content writing tool, you can do the following: Automation You can automate marketing tasks using no-code tools. These solutions are based on your own data – by connecting apps to data sources. You can also always maintain brand consistency – configuring content to match the specific brand standards from formatting to tone and style. No more dependency on IT with Jasper. A marketer can create and utilize AI to plan, create, and report without needing assistance from other experts. End-to-end Workflows You can manage key marketing processes centrally by using an API that allows you to embed AI across your entire marketing tech stack. Visual and multimodal solutions allow you to create campaign workflows that generate and transform brand-aligned visuals in various formats and channels. Additionally, a world-class LLM is used to ensure top quality in creating industry-leading models. Integrated Jasper AI Toolkits for Marketing Brand Voice IQ Easily connect platform settings with your brand – tone, voice, style, design guidelines, and more. You’ll also be able... --- European Contender Steps Forward In a market crowded with tech giants and AI incumbents, Paris-based startup Mistral AI is making a strategic push into the enterprise space with Le Chat Enterprise, a business-focused version of its AI assistant. The new product represents a pragmatic, infrastructure-flexible offering that directly addresses the realities of corporate AI adoption: scattered tools, rigid models, data privacy concerns, and the challenge of real return on investment. Built on Mistral’s new Medium 3 model, Le Chat Enterprise is not designed to wow with spectacle. Instead, it’s meant to quietly embed itself into everyday workflows — securely, seamlessly, and across teams. Already compatible with Google Drive, SharePoint, OneDrive, Gmail, and Calendar, the assistant can search enterprise documents, summarize files, and connect to private libraries. Additional connectors and templates for custom builds are expected in the coming weeks. While the launch may seem understated compared to the flashy demos of some Silicon Valley counterparts, the company is making notable headway. Revenue has reportedly tripled in just 100 days, driven primarily by growth outside the U. S. , in markets where data sovereignty and system flexibility are not just nice-to-haves — they’re imperatives. System That Plays by Your Rules What distinguishes Le Chat Enterprise is not just its features, but how it offers them. The product supports hybrid deployment: customers can choose to host on Mistral’s infrastructure, a public or private cloud, or on-premise. This setup gives organizations the ability to enforce strict access controls and integrate AI within existing... --- Artificial intelligence (AI) is already well known for its wide range of applications, from personal use to complex business solutions. It is also known that AI forecasting has already been tested in the field of climate change. However, Google is further expanding the potential of this technology in the climate sector by introducing innovative AI forecasting tools. Google DeepMind Launches New AI Forecasting Tool for Monitoring Meteorological Phenomena On June 12, Google DeepMind released a statement announcing, together with Google Research, the launch of a public and interactive website called “Weather Lab. ” The platform will showcase shared AI weather models and the latest experimental AI-based forecasts. The goal of this initiative is to enhance the capabilities of weather agencies and emergency service experts in better predicting cyclone trajectories and intensity. It also aims to improve decision-making processes and ensure timely communication about related risks and the management of potential cyclone impacts. Although this project is still experimental, the AI forecasting tool has already demonstrated high-quality performance. In early March of this year, “Weather Lab” successfully predicted the exact trajectories of cyclones “Hone” and “Garance” south of Madagascar and tracked the paths of “Jude” and “Ivone” in the Indian Ocean nearly seven days before their appearance. The photo shows the working principle of the AI forecasting tool in predicting the above-mentioned cyclones. Image source: Google DeepMind. Collaboration with External Institutions on AI Forecasting Google states that the website is being developed in collaboration with the U. S. National Hurricane Center,... --- Artificial intelligence (AI) offers the potential for wide application across various fields. One such example in this field is the innovative AI technology implemented by the UK’s National Health Service – the Cera app. With hope, all eyes turn to medicine – a field that is, quite literally, vital to society. Indeed, AI not only demonstrates its power to transform diagnostic or treatment processes but also proves useful in everyday healthcare. What is the Cera App? The Cera app. Image source: Cera Care It is an AI tool that can predict the risk of health deterioration with 97% accuracy using predictive analytics. It is the largest provider of digital in-home healthcare in Europe. This tool is already integrated into more than two-thirds of the National Health Service’s care systems, which monitor over 2 million patients every month: blood pressure, heart rate, temperature, fall risk, as well as sending real-time reminders for upcoming appointments, medication intake notifications, and more. Any detected changes in patients’ health trigger alert messages to the relevant healthcare facility. Cera Tool Positively Contributes to Health Condition Management This tool helps prevent emergency hospital visits – risks are identified before a patient’s condition critically deteriorates, allowing timely intervention. It is claimed that since the start of the pilot in July 2023, the Cera tool has helped reduce hospitalizations by up to 70%, saving the National Health Service over £1 million. Furthermore, this innovative tool helps reduce the administrative burden on healthcare personnel by automating tasks such as creating... --- Are you thinking that creating video content is difficult? You’ll probably agree without hesitation. However, in this technological era — especially with artificial intelligence (AI) becoming part of our daily lives — this perspective can change. Pictory is one of the professional video content creation platforms that solves all your challenges with the help of AI. An Easier Video Creation Process with Pictory’s AI Tools Pictory offers the easiest way to use AI tools to make video creation an enjoyable and efficient task. This professional video production platform provides the following AI-powered features: Text to Video – this tool transforms your text into an impressive video. It’s especially useful for blog posts, articles, or script-based content for social media and presentations. You can build your video using pre-designed templates and enhance it with realistic voiceovers. AI Video Editor – a feature-rich tool that allows you to quickly and easily edit your existing video content. PPT to Video – turn your presentations into engaging videos with background music, creative transitions, and voiceovers. URL to Video – simply copy a link, and this tool will convert its web content into a video format. Image to Video – combine your images into a cohesive video format using this tool. Smart Record – perfect for those who want to record high-quality screen demonstrations and share them for lessons or presentations. In addition to these core features, Pictory offers extra tools to support your video creation process. This means that content from any social media... --- Photos are one of the most effective and widely used forms of communication, both for personal use and within business environments. Pinterest has become the pinnacle of the Internet mood board. Every day we are exposed to hundreds of visual content pieces, but in this technological age, it is worth reflecting on the fact that not all of them are truly real. The capabilities of artificial intelligence (AI) have reached a level where it is becoming increasingly difficult to distinguish between real photos and AI-generated images. Thus, Pinterest, which is one of the most popular social media platforms, is attempting to address these emerging user challenges by introducing new features. New Pinterest Developments in Interaction with AI Pinterest is one of those social platforms where visual content is at the core of its identity. It is a highly popular channel, and as of January 2025, its posts reach more than 340 million users. With such a large audience and reach, the platform also faces challenges, as aesthetically pleasing images are now increasingly being generated not by people but by AI, and with relative ease. On one hand, this shows how far AI has come and what a high-quality outcome it can now offer users. On the other hand, without clear labelling, users can easily be misled about the authenticity of the images they see. To address these concerns and take steps toward greater transparency, Pinterest announced on April 30th that it will integrate new features into the platform to help... --- Nowadays, human interactions are based on the visual communications of the AI world. With the presence of AI, the posters, which were once static printed materials on the walls, have now crossed our traditional limits and are known as digital posters with lots of advancements. AI is proving to be a powerful tool to create more personalized posters with the help of image recognition and other machine learning algorithms. This article is about how AI is advancing in the world of poster designing, how it is creating an impact on designers and marketers, and also the contribution of Sentisight. ai. AI in Visual Design: An Emerging Trend A decade ago, there was a time when AI entered the creative side of technology as an unexpected notion, but now is the time AI is everywhere and revolutionizes almost every field on the earth, including design practices. With the innovative layout generation and image analysis capability, AI is making its way into the poster-making field with more accurate and efficient design recommendations. Now designers are equipped with more powerful and intelligent tools that help them in pattern recognition and contextual awareness. These tools turn their work from ideas to finalization. Main Advantages of AI in Poster Design 1. Efficiency and Speed Before AI, traditional designing involved a lot of work with long hours of brain effort, followed by multiple revisions and layout tests. Now, all of this is done within minutes due to AI technology. Appropriate poster design layouts with appropriate color... --- Enterprise artificial intelligence deployment has exposed a fundamental weakness in corporate data infrastructure. Companies pursuing AI transformation discover their fragmented data ecosystems cannot support intelligent applications that require clean, accessible information streams. This reality has triggered a strong wave of consolidation across the data management sector, with acquisition values reaching historic highs. AI in business - artistic impression. Image credit: Alius Noreika / AI The connection between data quality and AI success has become undeniable. Enterprise venture capitalists identified data quality as the primary differentiator for AI startup success in a December 2024 survey conducted by TechCrunch¹. Without reliable underlying data, AI applications fail to deliver meaningful business value, forcing enterprises to reconsider their entire data architecture. Billion-Dollar Acquisitions Signal Industry Transformation Recent mega-deals demonstrate how urgently large technology companies need comprehensive data solutions. Databricks acquired Neon for $1 billion, while Salesforce purchased cloud management firm Informatica for $8 billion¹. These acquisitions represent more than simple market expansion – they reflect strategic attempts to create integrated platforms capable of supporting enterprise AI workflows. Gaurav Dhillon, co-founder and former CEO of Informatica, now chairman and CEO at data integration company SnapLogic, explained the underlying driver: "There is a complete reset in how data is managed and flows around the enterprise. If people want to seize the AI imperative, they have to redo their data platforms in a very big way. And this is where I believe you're seeing all these data acquisitions, because this is the foundation to have a sound... --- Google has made another move toward a wide-scale implementation of a new-gen global search experience by extending its AI Mode feature to India, which became the platform's first international expansion beyond the United States. This strategic move positions India as the second market to experience Google's revolutionary chatbot-integrated search technology, currently available exclusively in English. Google AI mode. Image credit: Google Revolutionary Search Technology Reaches Indian Market CEO Sundar Pichai announced through social media that Indian users can now access AI Mode in Search, describing it as "a total reimagining of Search" following successful testing in Google Labs. This expansion extends Google's commitment to making advanced AI search capabilities accessible across diverse global markets. The AI Mode feature transforms traditional search interactions by providing conversational, AI-generated responses sourced from comprehensive web data. Unlike conventional search results that display link collections, this technology synthesizes information through natural language processing, enabling users to engage in follow-up conversations and deeper exploration of topics. Technical Architecture Behind AI Mode Innovation Google's AI Mode leverages the company's proprietary Gemini language models, built upon transformer technology that Google researchers originally developed in 2017. The foundational "Attention Is All You Need" paper established the technical framework that now powers ChatGPT and numerous AI applications across the industry. Nick Fox, who oversees Google's knowledge and information products, explains that previous search limitations confined the platform to basic information retrieval. The current AI integration enables reasoning, transformation, connection synthesis, and intelligence functions that transcend traditional search boundaries. Advanced Features... --- Creating professional-grade videos no longer demands a camera crew, green screen, or hours spent in post-production. JOGG AI, a Singapore-based startup with over 320,000 users, is challenging the traditional approach to video content by giving creators the power to produce realistic, studio-quality avatar videos in minutes—without ever hitting the record button. Their message is clear: “Transform Ideas into Stunning AI Avatar Videos in Minutes. ” The promise is simple but ambitious—no filming, no editing, and no learning curve. JOGG AI is purpose-built for today’s fast-moving content world, where short-form videos dominate platforms like TikTok, YouTube Shorts, and Instagram Reels. The platform caters to a wide range of users, from solo creators and marketers to startups and large-scale agencies. What JOGG AI Offers JOGG AI’s strength lies in its broad suite of tools designed to speed up and improve video production using AI-generated avatars. The platform allows users to input text, upload a product image, or simply prompt a scenario—and in return, get a video ready for publishing. These aren’t static stock videos or robotic avatars, either. JOGG AI’s digital humans are dynamic, expressive, and designed to feel as real as possible. At the heart of the platform is QuickAds, a tool that turns product images into animated, engaging video ads. Users can choose a model to hold, wear, or interact with their product—creating content that mirrors high-budget studio shoots. Want your product held by a model in Paris-style lighting or shot from a bird’s-eye view? A simple prompt gets it... --- Bottom Line Up Front: The difference between mediocre and exceptional AI responses lies entirely in how you craft your prompts. Master these techniques to transform AI from a basic assistant into a powerful collaborator that delivers exactly what you need. Gemini chatbot - artistic impression. Guidelines presented in this article will be useful when writing prompts for different AI tools, not just Gemini or ChatGPT. Why Prompt Quality Determines AI Success When working with large language models (LLMs) like ChatGPT, your input directly shapes the output quality. Think of prompts as the foundation of a conversation—weak foundations produce unstable results, while solid groundwork creates reliable, valuable responses. The challenge isn't that AI lacks capability; it's that most users approach prompting like they're talking to a search engine instead of collaborating with an intelligent assistant. This fundamental misunderstanding leads to generic, unhelpful responses that frustrate users and underutilize AI's potential. Core Framework: The Four Pillars of Effective Prompting Successful AI prompting rests on four essential elements that work together to guide the model toward your desired outcome. Persona Definition Establish who you are in the context of your request. This isn't just politeness—it provides crucial context that helps AI understand your perspective and needs. Instead of "Write an email welcoming a new employee," try "I am an HR manager. Write an email welcoming our new software developer to the team. " Task Specification Define exactly what you want the AI to accomplish. Vague requests produce vague results. Be direct about your... --- AI, Machine Learning, and Deep Learning: Understanding the Technology Hierarchy Picture a set of Russian nesting dolls. Artificial intelligence forms the outermost layer, encompassing everything within. Machine learning sits inside AI as a specialized approach. Deep learning nestles within machine learning as an even more focused technique. Neural networks power deep learning algorithms, creating the foundation for sophisticated pattern recognition. This hierarchy eliminates much confusion around these interconnected technologies. Each builds upon the previous layer, adding complexity and capability while maintaining the core principles of intelligent computation. Artificial intelligence, machine learning - artistic impression. Image credit: Freepik, free license What Makes Artificial Intelligence Revolutionary Artificial intelligence represents humanity's attempt to replicate cognitive functions in machines. These systems process information, recognize patterns, make decisions, and solve problems that traditionally required human intelligence. AI systems excel at tasks like facial recognition, language translation, and strategic game playing. When you ask Siri for directions or see Facebook automatically tag your friends in photos, you're witnessing AI in action. The Three Categories of AI Power Artificial Narrow Intelligence (ANI) dominates today's landscape. These "weak" AI systems master specific tasks with remarkable precision. Chess-playing computers, recommendation engines, and voice assistants exemplify ANI's focused capabilities. Artificial General Intelligence (AGI) remains theoretical. This "strong" AI would match human cognitive abilities across diverse domains, understanding context, emotion, and nuance like a human colleague. Artificial Super Intelligence (ASI) represents the ultimate goal where machines surpass human intelligence entirely. Neither AGI nor ASI exists today, though research continues advancing toward... --- Revolutionary Changes in How We Find Information Search has fundamentally changed. Traditional keyword-based engines that once dominated the internet landscape now compete with intelligent platforms that understand context, interpret natural language, and deliver personalized responses. These AI-powered search engines represent more than technological advancement—they signal a complete transformation in how users interact with information online. Monthly traffic data reveals fascinating patterns in user preferences. ChatGPT leads with an astounding 5. 4 billion visits, while newer entrants like DeepSeek capture significant attention with around 38 million monthly visits. This data demonstrates which platforms users actually choose when seeking AI-enhanced search experiences. Now, most internet users also use AI search functionality. Image credit: Pexels, free license Understanding AI Search Engine Technology Modern AI search platforms operate through sophisticated natural language processing systems that analyze user intent rather than simply matching keywords. These engines employ large language models trained on vast datasets, enabling them to comprehend context, generate summaries, and provide conversational responses. The core difference lies in how these systems process queries. Traditional search engines create ranked lists of web pages based on algorithmic relevance scoring. AI search engines interpret questions, synthesize information from multiple sources, and present coherent answers with source citations. This approach eliminates the need to visit multiple websites to gather comprehensive information. Machine learning algorithms continuously refine these platforms by analyzing user interactions, click patterns, and engagement metrics. This constant learning enables increasingly accurate and personalized results over time. Leading AI Search Platforms by User Adoption ChatGPT: The... --- Discover 12 powerful free AI tools for writing, design, coding, and productivity in 2025. Transform your workflow with these no-cost solutions that deliver professional results. Discover these 12 incredibly useful, powerful free AI tools. Image credit: Alius Noreika / AI The artificial intelligence revolution has given access to powerful creative and productivity tools to billions of internet users. Gone are the days when professional-grade software required expensive subscriptions or technical expertise. Today's AI market offers a great selection of sophisticated solutions that anyone can use—from seasoned professionals to complete beginners who are exploring new possibilities. These twelve carefully selected tools represent the most impactful free AI applications available right now. Each has proven its worth in real-world scenarios, helping users accomplish tasks that once required specialized skills or significant time investment. AI Tools For Visual Creation That Transform Ideas Into Reality Leonardo AI: Professional Image Generation Without Artistic Skills Leonardo AI stands out as a comprehensive image generation platform that rivals premium alternatives. Users input descriptive text prompts and receive high-quality visuals suitable for commercial use. The platform excels at creating concept art, marketing materials, and product mockups. The free tier provides 150 daily credits, sufficient for most individual projects. Whether you need vintage robot logos in pixel art style or modern minimalist designs, Leonardo AI delivers consistent results. The tool particularly shines when generating themed visual content for social media, print-on-demand products, or digital marketing campaigns. Direct link: https://leonardo. ai Canva's AI-Powered Design Assistant Canva has evolved beyond simple template... --- When users interact with AI search tools like ChatGPT, Claude, or Gemini, they often wonder why their results feel generic or miss the mark entirely. The culprit usually isn't the AI itself—it's how the question gets asked. Poor prompting techniques can transform powerful AI systems into frustrating experiences that waste time and deliver mediocre outputs. Understanding what not to do when crafting prompts makes the difference between getting surface-level responses and unlocking the sophisticated capabilities these tools offer. This guide examines the most damaging prompt mistakes and demonstrates how to avoid them. Artificial intelligence - artistic impression. The results you get from AI search depend on how you construct your prompts. Image credit: Alius Noreika / AI The Foundation Problem: Treating AI Like a Search Engine Mistake #1: Asking Questions Without Context Many users approach AI tools the same way they use Google, typing bare-bones queries that lack essential background information. This approach fundamentally misunderstands how language models operate. The Problem: When you ask "Help me with my Python code" without additional context, the AI must guess at your experience level, project scope, and specific needs. This guesswork leads to generic advice that may not apply to your situation. Why Context Matters: AI systems work best when they understand the role you want them to play and the specific circumstances of your request. Think of context as providing direction—without it, even the most sophisticated AI will wander aimlessly through possible responses. Better Approach: Frame your requests by establishing the AI's... --- The education sector stands at a technological crossroads where artificial intelligence transforms how knowledge transfers from instructor to student. AI smart tutors represent this transformation's most promising frontier, offering unprecedented personalization and accessibility in learning environments worldwide. Using smart tutoring software in a classroom - artistic impression. Image credit: Alius Noreika / AI Understanding AI Smart Tutor Technology An AI smart tutor operates as an intelligent software system that delivers customized educational experiences through sophisticated algorithms and machine learning capabilities. These platforms analyze student behavior patterns, knowledge gaps, and learning preferences to create tailored instructional pathways. The technology foundation rests on natural language processing and artificial intelligence working together to understand student inputs and generate appropriate responses. Unlike traditional educational software, AI tutors continuously evolve their teaching methods based on accumulated student interaction data. Core Components Powering AI Tutoring Systems Modern AI tutoring platforms integrate four essential architectural elements that enable their adaptive functionality: Domain Knowledge Framework serves as the comprehensive repository of subject matter content, encompassing facts, concepts, and skills the system teaches. This component ensures instructional accuracy and completeness across various academic disciplines. Student Assessment Engine continuously monitors learner progress, tracking performance metrics, identifying knowledge strengths, and pinpointing areas requiring additional focus. This real-time analysis enables the system to adjust instruction dynamically. Pedagogical Strategy Module determines optimal teaching approaches based on individual student profiles and learning objectives. This component selects appropriate difficulty levels, content sequencing, and instructional methods. Interactive Interface Layer facilitates seamless communication between students and the... --- Artificial intelligence (AI) is significantly changing societal habits. AI, used for a wide range of purposes, can also be an excellent tool for increasing work efficiency and improving performance. In this article, we will discuss how AI tools can optimize work processes and enhance your productivity. 10 Key AI Use Cases for Enhancing Productivity A review of various AI studies by The Business Dive highlights several key efficiency-related insights. For example, 64% of surveyed companies expect AI adoption to have a significant impact on performance growth. Meanwhile, PwC research indicates that by 2035, artificial intelligence could increase employee efficiency by 40%. Additionally, 80% of employees believe that these technologies are excellent for automating repetitive tasks, significantly boosting their performance in the workplace. So, how can you leverage AI to increase your productivity on both personal and business levels? Customer Service Regardless of business size, AI-powered chatbots can contribute to greater efficiency. First and foremost, automation of basic inquiries reduces operational costs. Additionally, these tools are available 24/7, allowing customer service representatives to focus on more critical tasks. It is essential to note that chatbots not only improve performance but also enhance user experience, as they are often personalized solutions. Time Management AI scheduling tools help organize various types of information and plan activities based on priorities and preferences. These solutions enable the creation of personalized schedules, keeping everything in one place. Over time, AI systems can also provide recommendations on optimizing the workflow further. Creative Process Creativity requires significant time... --- The last few years were like decades in terms of how rapidly digital technologies have improved. On the internet, traditional search engines now compete with AI-powered platforms that process and deliver information in fundamentally different ways. While Google remains dominant, AI search engines like ChatGPT, Claude, Perplexity, and Grok have already changed how users discover content, and did that faster than we could have expected. AI assistant apps on a smartphone screen. Image credit: Solen Feyissa via Unsplash, free license This transformation demands a new approach to optimization. AI systems evaluate content through different lenses, prioritizing accessibility, structure, and semantic meaning over traditional ranking factors. Understanding these distinctions will determine whether your content remains visible in the AI-driven future. Why AI Search Optimization Differs from Traditional SEO AI search engines process information through machine learning models that analyze content for context, relevance, and utility. Unlike traditional crawlers that follow link patterns and keyword density, AI systems seek content that can be easily parsed, understood, and synthesized for user queries. The technical requirements reflect this change. AI crawlers often operate with tight timeouts of 1-5 seconds, meaning slow-loading content gets abandoned. JavaScript-heavy sites that traditional search engines can now render may still confuse AI crawlers, making clean HTML structures essential. Current data reveals the scale of this challenge. Analysis shows that 34% of AI crawler requests result in errors, while these systems demonstrate 47 times less efficiency compared to traditional crawlers like Googlebot. Despite these limitations, AI crawlers already represent approximately... --- The digital marketing technology and market have witnessed a rapid advancement of new tools and methodologies with the emergence of artificial intelligence-powered search experiences. While traditional SEO remains relevant, new optimization strategies are actively reshaping how content reaches audiences through AI-driven platforms. SEO, digital marketing - artistic impression. Image credit: 1981 Digital via Unsplash, free license Understanding the Evolution from Keywords to Answers Traditional SEO has dominated digital marketing strategies for over two decades, focusing primarily on ranking websites higher in search engine results pages through keyword optimization, backlink building, and technical improvements. This approach centers on driving organic traffic to websites where users can explore detailed content and eventually convert. The rise of AI-powered search engines has introduced a fundamentally different paradigm. Users now receive direct, synthesized answers without necessarily clicking through to websites. This transformation has birthed three interconnected optimization strategies: Answer Engine Optimization (AEO), Generative Engine Optimization (GEO), and Artificial Intelligence Optimization (AIO). The Core Distinction: Traffic Generation vs. Answer Provision Traditional SEO Methodology Search engine optimization operates on a traffic-generation model. Content creators develop comprehensive, keyword-rich articles designed to attract users who will click through to their websites. Success metrics include search rankings, click-through rates, and organic traffic volume. The process involves extensive keyword research to identify terms users search for, creating detailed content that addresses those topics, and building authority through external links. Search engines like Google evaluate hundreds of ranking factors to determine which pages deserve prominence in their results. The New Answer-First Approach... --- It seems that AI’s capabilities are limitless — this time, extending beyond Earth itself. AI in space exploration is an increasingly popular aspect that is transforming the entire space exploration system, opening additional opportunities for research, efficiency, and mission success. So, how has AI already changed the field of space exploration? The Rise of AI in Space Exploration Solutions According to the AI in Space Exploration Global Market Report 2024, the use of AI in space exploration is expected to grow significantly in the coming years. This tendency may be driven by an increasing number of space missions, the expansion of autonomous vehicles, and the development of satellite operations, where AI solutions can be effectively integrated. It is projected that the market will grow from USD 4. 44 billion to USD 12. 78 billion by 2028, indicating that AI integration will be a major shift in space exploration. Clint Crosier, an executive at Amazon Web Services, highlighted the need for AI adoption at a Booz Allen Hamilton event, stating, "We’ve culminated, so we must further embrace AI, ML, and generative AI capabilities for the future. " Such statements arise from the multiple benefits that AI in space exploration brings, including: 1. Data Analysis AI systems can process vast amounts of data quickly, efficiently, and in real time — something human resources could never keep up with. This alternative completely changes the way data is analysed. Moreover, AI algorithms examining space mission data, such as images and sensor readings, help detect... --- We live in the age of technology, where AI trends are taking on an increasingly larger and more important role. The market offers a variety of AI tools and alternatives we can use, but when asked about AI tools, we typically think of a few specific ones — these are the most popular tools that everyone interested in AI knows, tests, and uses. But how can we stay constantly informed about the latest technological advancements or identify specific AI tools that will become AI trends? This article will explore just that. The Significance of AI Trends in the Market AI technology is now widely applied across various industries, transforming business models by enabling automation, data-driven decision-making, and enhancing user experiences or business performance. According to Statista, global AI market statistics project that by 2025, the AI market size will reach $243. 72 billion, with the U. S. being the largest market. Tracking AI trends is useful not only for the average consumer but is also highly beneficial for business growth. Identifying and investing in specific AI technologies at the right time can help improve both business efficiency and competitiveness in the market. AI adoption is equally crucial for driving innovation, which is essential for maintaining relevance and improving customer experiences with products or services. An AI trend, in essence, represents a new model that introduces an alternative way of solving problems and unlocking new opportunities. AI trends emerge when AI-driven solutions yield consistent results across various use cases. Ultimately, the... --- The Workplace Divide As artificial intelligence becomes more embedded in workplaces, it ignites a mix of enthusiasm and unease. In executive suites, the optimism is palpable— according to BCG’s AI Radar report, three out of four business leaders see Human-AI partnership as a crucial strategic priority, according to recent studies. Yet, the enthusiasm hasn’t fully translated into tangible value, with only a quarter reporting significant benefits. Meanwhile, among employees, skepticism lingers. Pew Research study found that half worry about AI’s long-term impact on job security, and nearly a third believe it could shrink opportunities rather than expand them. The reality, however, is more nuanced. Many executives envision AI as a collaborative tool rather than a replacement. The majority expect humans and AI to work in tandem, and only a small fraction predict AI will take over the primary role. Most organizations are investing in upskilling their workforce rather than reducing headcount, suggesting a future where AI enhances rather than eliminates human jobs. Despite these aspirations, AI adoption in daily work remains uneven. While corporate leaders push for increased AI integration, most employees report minimal exposure to these technologies in their tasks. The skills gap is also apparent: while abilities like communication and critical thinking rank high in importance, proficiency in AI tools still trails far behind. Until organizations bridge this divide through training and real-world application, the promise of human-AI collaboration will remain just that—a promise. Task-Centered Collaboration To understand how humans and AI can work effectively together, it helps... --- Search engines are still one of the most dominant and important tools for finding information online, especially with an agentic browser. Every day, users perform millions of searches on countless topics. But can you imagine a future where, thanks to artificial intelligence (AI), we could discover information in a completely different way than we do now, through traditional search results? That’s exactly what Opera Software, the company behind the Opera browser, aims to achieve with its next-generation agentic browser. The Transformation of Search Results with Opera’s Agentic Browser The window of AI Agentic Browser. Image credit: Opera Despite growing competition and the rising influence of AI, tech giant Google remains at the top of the search engine landscape. According to Exploding Topics, Google is the most visited website globally, handling approximately 16. 4 billion searches per day — that’s about 189,000 searches every second. Today, users see a wide variety of results and often need time to find the exact answer to their query (unless you’ve already tried AI Overviews). However, Opera Software, the Norwegian company behind the Opera browser, seeks to change this approach to search results. Recently, Opera introduced its latest Opera Agentic Browser, featuring AI agents designed to fully take over user tasks and handle them directly within the browser. This means the tool can understand a user’s intent and execute tasks and ideas across the web. This innovation challenges traditional search methods and introduces a completely new perspective on how AI can empower users in their... --- Even the most professional writers don’t always catch their own mistakes, and others might notice an error only after hitting "send" – even after multiple read-throughs. In today’s digital age, we have artificial intelligence (AI) to help address these challenges, often surpassing human accuracy. One such tool is ProWritingAid – an advanced AI grammar checker tool. ProWritingAid Helps You Craft, Polish, and Evaluate Your Writing ProWritingAid is a storytelling tool that has already helped more than 3 million writers. Detailed Analysis and Effective Feedback Its advanced, customizable analysis features can evaluate your text within seconds and help you enhance it significantly. Integration with Writing Platforms The AI grammar checker tool works wherever you are and no matter what writing platform you use – whether Word, Google Docs, or Scrivener. Data Security Guaranteed The company uses bank-level security to ensure that every customer and their work is protected. All original content remains private and is not used to train AI algorithms. Features Offered by ProWritingAid This is not just a grammar checking tool – it’s a comprehensive solution for enhancing your writing and creating unique, high-quality content: Grammar Checker Paraphrasing Tool Rephrase Chapter Critique (with one click, receive direct feedback on the strengths, weaknesses, and areas for improvement. The tool evaluates elements like structure, plot, characters, tension, style, dialogue, and more) Manuscript Analysis (provides a detailed evaluation of up to 300,000 words in minutes) Sparks Writing Reports ProWritingAid delivers a comprehensive report on your writing, highlighting key insights and scores related... --- In today’s fast-paced technological age, high-quality content is a key factor for success. However, it’s not always easy to maintain creative momentum or discover new perspectives for writing. Bertha AI is precisely the kind of tool that helps take a confident step forward with innovative texts for any genre. Bertha AI Capabilities in the Content Generation Process The tool was developed and launched in September 2021 and became the world’s first AI-powered writing assistant designed specifically for WordPress and integrated page builders. Bertha uses AI and natural language processing to help creators generate SEO-optimized content. It provides access to chat features, image generation, and alternative image text both via WordPress and Chromium-based browsers. More than 20,000 users already use Bertha AI as a writing assistant, which includes: Social media post creation SEO optimization – keywords, meta descriptions, and SEO-friendly titles Long-form article writing Bulk generation of alternative text (creating many alt texts at once, saving time for creators) The AI writing tool doesn’t just generate content based on prompts but also acts as an assistant that can provide guidance on various writing-related questions, generate specific content types for various goals, and optimize them. Additionally, to make the content even more appealing, Bertha also offers an image generation feature to visualize written content. The tool supports a wide range of languages – 25 in total, including French, Danish, Latvian, and others. Key Bertha AI Features Writing partner With this tool, you can not only generate the perfect website intro, blog posts... --- Meta has released V-JEPA 2, a groundbreaking world model that fundamentally changes how artificial intelligence comprehends and interacts with physical environments. Image credit: Meta This advanced AI system demonstrates remarkable efficiency, processing physical world dynamics at speeds that eclipse competing technologies by significant margins. The model significantly advances machine learning capabilities, specifically targeting the complex challenge of physical reasoning that has long separated human intelligence from artificial systems. Unlike traditional AI models that struggle with real-world physics, V-JEPA 2 bridges the gap between digital computation and physical reality. Training Foundation: Million-Hour Video Learning Architecture V-JEPA 2 builds upon its predecessor's massive training foundation, leveraging over one million hours of video content to develop sophisticated understanding of physical interactions. This extensive dataset enables the model to recognize patterns that govern how objects behave, move, and interact within three-dimensional space. The training methodology focuses on observing real-world scenarios where humans manipulate objects, demonstrating natural physics principles through countless interactions. This approach allows the AI to internalize fundamental concepts like momentum, collision dynamics, and spatial relationships without explicit programming of physics equations. Video-based learning provides V-JEPA 2 with contextual understanding that static images or text descriptions cannot deliver. The model observes temporal sequences, understanding cause-and-effect relationships that unfold over time, creating a comprehensive internal representation of physical reality. Physical Reasoning Capabilities Transform Robot Intelligence The model's most impressive achievement lies in its ability to predict future states based on current observations and intended actions. This predictive capability mirrors the intuitive understanding that develops... --- Your Best AI Laptop Match For most users: ASUS Zenbook A14 delivers exceptional AI performance with 45 TOPS NPU power, 12+ hour battery life, and ultra-portable design at competitive pricing. For power users: ASUS ROG Strix Scar 18 provides unprecedented 1,837 TOPS of AI processing capability with RTX 5090 mobile GPU for demanding local AI model training and complex generative tasks. For value seekers: Apple MacBook Air M4 offers robust AI capabilities through its Neural Engine, doubled base RAM, and $100 price reduction from previous generation. For business professionals: HP EliteBook Ultra 14 combines enterprise security with 48 TOPS NPU performance and premium build quality for mission-critical AI workflows. An AI laptop - artistic impression. Image credit: Alius Noreika / AI Understanding Modern AI Computing Requirements The artificial intelligence revolution has fundamentally changed laptop design priorities. Today's AI-enabled systems require specialized processing units beyond traditional CPU and GPU configurations. The Neural Processing Unit (NPU) has emerged as the critical component that distinguishes genuine AI laptops from conventional portable computers. Microsoft's Copilot+ PC certification requires minimum 40 TOPS (Trillion Operations Per Second) AI processing capability, establishing the baseline for meaningful local AI performance. This threshold ensures smooth execution of real-time AI tasks including image enhancement, natural language processing, and background computational assistance without draining battery resources. The key distinction lies in how different users engage with AI technology. Basic users primarily interact with integrated AI features like webcam enhancement, voice transcription, and productivity assistants. Advanced users require substantial computational power for... --- The traditional divide between customer-facing operations and internal business processes is dissolving. AI agents are emerging as the catalysts for this transformation, creating seamless connections between front-office customer relationship management (CRM) systems and back-office enterprise resource planning (ERP) operations. This convergence represents more than technological advancement—it points to a fundamental shift in how businesses operate, make decisions, and serve customers. AI in business - artistic impression. Image credit: Alius Noreika / AI The Evolution Beyond Traditional Business Silos Enterprise operations have historically functioned in distinct compartments. Sales teams worked within CRM platforms, finance departments operated ERP systems, and human resources managed separate training modules. Each system generated valuable data, but extracting insights across these boundaries required manual intervention and complex integrations. AI agents are dismantling these barriers by acting as intelligent intermediaries that understand context, make autonomous decisions, and execute tasks across multiple systems. Unlike simple automation tools that follow predetermined rules, these agents adapt their behavior based on real-time data and environmental feedback. How AI Agents Transform Customer-Facing Operations Predictive Customer Intelligence AI agents within CRM systems now leverage historical customer data to predict future behaviors and preferences. These systems analyze purchase patterns, engagement metrics, and communication histories to generate personalized recommendations that extend far beyond basic demographic targeting. The predictive capabilities enable organizations to anticipate customer needs before explicit requests arise. AI can draw in potential customers with its highly personalized experiences. The AI can analyze customer data through algorithms and recommend products or services that are individualized... --- Artificial Intelligence (AI) solutions are now reaching all areas of creative work. Alongside advanced AI-generated images, videos, and texts, cutting-edge AI voice solutions are also gaining ground. One of the leaders in this field is Murf AI, which eliminates the need for professional voice actors, microphones, recording studios, and the exhausting process of voice recording. High-Quality AI Voice Infrastructure with Murf AI Murf AI enables large-scale audio experience through its proprietary AI voiceover tool. The company promotes ethical voice infrastructure, ensuring fair compensation for professional voice talents through ongoing royalties, and adheres to strict data privacy standards (SOC 2 Type II, ISO 27001, and GDPR compliance, along with advanced data protection). Company is one of the leading AI voice generators, trained on massive and diverse speech datasets, covering multiple languages, accents, speech styles, and vocal modulations — making it adaptable to various use cases. Through its offerings — Murf Studio, Murf Dub, and Murf API — company simplifies business communication with the following tools: Text to Speech A free and realistic text-to-speech AI tool that turns written content into high-quality, emotionally rich audio. The platform features over 200 AI voices in more than 20 different languages, capable of reading out text documents, PDFs, or articles. Voice Cloning This isn’t your typical monotone-sounding voice clone. This AI voice tool mimics real human emotion, allowing for adjustments in pitch, tone, and speed to match the desired expression. AI Dubbing Ideal for global business communication, this tool creates high-quality dubbing in over 20... --- AI laptops represent the next evolution in personal computing, offering three compelling advantages: enhanced productivity through intelligent automation, superior performance for demanding tasks, and future-proof technology investment. These specialized machines integrate Neural Processing Units (NPUs) that handle artificial intelligence workloads locally, transforming how we work, create, and interact with our devices. AI-ready laptop, artistic impression. Image credit: Alius Noreika / AI The computing tech today is different - artificial intelligence moves from cloud-based applications to integrated hardware solutions. While online AI tools like ChatGPT and Google Gemini have introduced millions to AI capabilities, AI laptops bring this power directly to your fingertips with specialized hardware designed for intelligent computing tasks. Understanding AI Laptop Technology An AI laptop distinguishes itself from conventional computers through its Neural Processing Unit—a specialized chip that mimics neural networks to process artificial intelligence tasks efficiently. Unlike traditional processors that handle AI workloads as secondary functions, NPUs are purpose-built for machine learning operations, pattern recognition, and intelligent automation. These machines combine advanced processors, dedicated graphics cards, enhanced memory configurations, and optimized storage systems. The integration allows AI laptops to perform complex computations without relying entirely on external servers, bringing AI processing power directly to users while maintaining data privacy and reducing latency. Modern AI laptops feature architectures specifically designed to handle multiple AI-driven applications simultaneously. This specialized hardware foundation enables the three primary benefits that make these devices compelling for both professional and personal use. Reason 1: Enhanced Productivity Through Intelligent Automation AI laptops transform routine computing... --- What is Laxis and How Does AI Transform Your Sales Process? Laxis is a revolutionary software solution, changing how businesses approach sales automation and meeting management. This AI-powered platform serves as your digital sales team, combining intelligent meeting assistance with automated lead generation to create a seamless sales experience. Founded in 2020 with a mission to eliminate unproductive meetings and manual sales tasks, Laxis has grown into a comprehensive solution trusted by over 50,000 professionals across 4,000+ organizations worldwide. Image credit: Laxis The platform addresses a critical business challenge: sales teams waste countless hours on administrative tasks instead of focusing on revenue-generating activities. Through advanced artificial intelligence, Laxis automates everything from lead qualification to meeting transcription, enabling sales professionals to concentrate on building relationships and closing deals. Core AI-Powered Solutions That Drive Results AI Meeting Assistant: Transform Every Conversation Into Revenue The Laxis AI Meeting Assistant goes beyond traditional transcription tools by providing intelligent conversation analysis. This system automatically captures, transcribes, and summarizes meetings while identifying key discussion points, action items, and follow-up opportunities. The technology supports real-time note-taking across popular platforms including Zoom, Google Meet, Microsoft Teams, and Webex. Image credit: Laxis What sets this Laxis solution apart is its ability to understand context and extract meaningful insights from conversations. The AI analyzes sentiment, identifies pain points, and highlights potential sales opportunities that human note-takers might miss. Meeting participants can focus entirely on the discussion while the AI handles documentation with precision. Key capabilities include video recording with searchable... --- What Is Gong and How Does It Transform Revenue Operations? Gong stands as the leading AI-powered revenue intelligence platform, fundamentally changing how businesses approach sales, forecasting, and customer engagement. Founded in 2015 by CEO Amit Bendov and engineer Eilon Reshef, Gong emerged from a simple yet profound realization: revenue teams were making critical decisions based on incomplete customer data, relying on guesswork rather than actual customer conversations. Image credit: Unsplash, free license The platform captures and analyzes every customer interaction across multiple channels—video calls, phone conversations, emails, and digital touchpoints—transforming raw conversation data into actionable revenue insights. With over 4,500 customers including five Fortune 10 companies, Gong has established itself as the undisputed leader in revenue AI technology. The Gong Revenue AI Platform: Core Components Gong Data Engine: The Foundation of Intelligence The Gong Data Engine serves as the bedrock of the entire platform, capturing customer interaction data at unprecedented scale. Unlike traditional CRM systems that rely on manual input, the Data Engine automatically collects 100 times more data than conventional approaches, providing real-time visibility into every deal and customer relationship. Key Data Engine Capabilities: Comprehensive Data Capture: Records interactions across video, phone, email, SMS, and digital platforms Intelligent Data Mapping: Automatically associates interactions with the correct accounts, contacts, and opportunities Privacy Protection: Maintains enterprise-grade security while maximizing insights Seamless Integration: Connects with 250+ business applications through the Gong Collective ecosystem Gong AI Agents: Purpose-Built for Revenue Success Gong's AI agents represent the next evolution in revenue automation, designed specifically... --- The digital age pushes us to search for and opens up access to tools that allow for the quick yet high-quality creation of unique videos. The good news is that while technology often requires investment, it can later enable excellent results with lower costs. These possibilities are brought by the Fliki platform, which introduces an innovative AI-based approach to video creation. Ideas Turn into Videos with Fliki Fliki is a video generation platform offering AI tools related to this field and beyond. With this platform, you can choose from over 2500 realistic voices, translate them into 80 languages, use avatars, and even clone your own voice. In addition to offering a high-quality video generation process, it provides various AI tools that streamline the creative process. For example, tools directly related to video generation: Text to Video – a text script or simple prompt can be transformed into videos for YouTube, TikTok, or other platforms. Idea to Video – if you're out of ideas, AI can generate everything; just describe your desired video direction. AI Avatar – no need for personal actors, as AI avatars can realistically perform for them. Various content formats (PPT, image, product) to Video – you can turn different text formats such as blog posts or presentation content into AI-generated videos. AI Video Generator – this tool not only generates videos but also selects suitable effects and music. Video Editor AI Video Ad Generator AI Talking Avatar Generator Also, tools related to voice options: AI Voiceover –... --- No single LLM dominates every use case in 2025. According to the latest LLM Leaderboard benchmarks, o3-pro and Gemini 2. 5 Pro lead in intelligence, but the "best" choice depends on your specific needs: For creative writing and coding: Claude 4 Sonnet excels with natural conversation and powerful artifacts For research and fact-checking: Perplexity AI leads with real-time web search and source citations For general versatility: ChatGPT (GPT-4o) offers the most comprehensive toolkit with memory, image generation, and broad capabilities For speed and efficiency: Gemini 2. 5 Flash delivers the fastest performance at 372 tokens/second with strong multimodal features For real-time information: Grok 3 provides cutting-edge reasoning with current data access For maximum context: Llama 4 Scout handles massive 10 million token contexts for document-heavy tasks Artificial intelligence, LLMs - artistic impression. Image credit: Alius Noreika / AI The AI market has evolved beyond simple "which is smarter" comparisons. With a few exceptions, Anthropic and OpenAI's flagship models are essentially at parity, meaning your choice of any particular LLM should focus on specialized features rather than raw intelligence. The Current State of LLM Competition The AI assistant wars have intensified dramatically in 2025. The "best" model depends on what you're trying to do, as each platform has carved out distinct strengths while achieving similar baseline capabilities. Unlike the early days when capabilities varied wildly between models, today's leading LLMs have reached remarkable parity in core intelligence tasks. Both Claude and ChatGPT are reliably excellent when dealing with standard queries like... --- AI marketing accelerates brand growth through personalized customer experiences, automated content generation, data-driven insights, enhanced creative processes, and consistent brand identity management across all touchpoints. These technologies and 5 core strategies enable businesses to scale their marketing efforts while maintaining authentic connections with their audiences. Personalized digital customer experience - artistic impression. Image credit: Alius Noreika / AI The marketing landscape has fundamentally shifted over the last couple of years. Artificial intelligence now powers everything from customer conversations to creative campaigns, offering unprecedented opportunities for brand expansion. Modern businesses leveraging AI marketing strategies report significant improvements in efficiency, engagement, and revenue generation. However, success demands balance. AI excels at processing data and automating tasks, but human creativity and strategic thinking remain irreplaceable for building meaningful brand connections. 1. Deliver Hyper-Personalized Customer Experiences Personalization has evolved beyond basic demographic targeting. AI analyzes vast datasets including purchase history, browsing behavior, social media interactions, and engagement patterns to create individualized brand experiences for each consumer. This technology enables dynamic content adaptation in real-time. When a customer visits your website, AI instantly adjusts messaging, product recommendations, color schemes, and even navigation based on their previous interactions and preferences. The result transforms generic brand encounters into tailored experiences that resonate on a personal level. Research indicates 37% of consumers welcome AI-driven personalization for product and service recommendations. This acceptance creates opportunities for deeper brand engagement through predictive analytics and natural language processing capabilities. Consider how streaming platforms recommend content or e-commerce sites suggest products. AI... --- Search LLMs obtain their data from dramatically different sources: ChatGPT draws nearly half its citations from Wikipedia, Google AI Overviews spreads across community platforms like Reddit (21%) and YouTube (19%), while Perplexity heavily favors Reddit for 47% of its responses. Understanding these distinct crawling patterns is essential for optimizing content visibility across AI platforms. AI apps on a smartphone screen. Image credit: Solen Feyissa via Unsplash, free license The modern search platforms experience a strong transformation as AI-powered search engines reshape how information gets discovered and presented. Each major platform develops unique preferences for data sources, creating a complex ecosystem where traditional SEO strategies fall short. Recent comprehensive research by Nick Lafferty and the Profound team analyzing 30 million citations reveals the hidden mechanics behind AI search results. The Data Mining Revolution Behind AI Search AI search engines don't simply crawl the web randomly. They operate sophisticated algorithms that prioritize specific types of content and platforms based on reliability, user engagement, and information quality. This selective approach means certain websites consistently appear in AI responses while others remain virtually invisible. The citation analysis spanning August 2024 through June 2025 exposes three distinct data acquisition strategies across major platforms. These patterns determine which content surfaces in AI responses and which disappears into digital obscurity. ChatGPT's Wikipedia-Centric Approach ChatGPT demonstrates an overwhelming preference for encyclopedic content, with Wikipedia commanding 47. 9% of citations within its top ten most-referenced sources. This concentration suggests the platform values comprehensive, fact-checked information over trending discussions or... --- Apple aims to improve something that has been unchanged for a long time. Users will now be able to discover applications through an implemented artificial intelligence-powered tagging system on the App Store. App Store icon on a smartphone screen. Image credit: James Yarema via Unsplash, free license Large language models now automatically generate descriptive labels that highlight specific app features and functionalities, making previously buried information instantly searchable. This advancement represents the most significant enhancement to app discovery since the App Store's launch, directly addressing the challenge of surfacing relevant applications from millions of available options. The integration of AI into Apple's app ecosystem is a key change, a shift toward intelligent content organization, where machine learning algorithms work alongside human reviewers to create a more intuitive discovery experience for consumers while providing developers with unprecedented visibility into how their applications are being found and categorized. Intelligent Content Recognition Through Machine Learning Apple's new tagging system leverages sophisticated large language models that analyze multiple data sources to understand what applications actually do. These AI systems examine app metadata, descriptions, screenshots, and other available information to generate relevant tags that describe specific features and capabilities. The technology goes beyond simple keyword matching, employing natural language processing to identify functionality that might be described in various ways across different app listings. This approach ensures that users searching for specific features can find relevant applications regardless of how developers choose to describe their products. Human-AI Collaboration Ensures Quality Control While artificial intelligence generates... --- Artificial intelligence (AI) is not only widely known in chatbots, virtual assistants, or similar tools – it is also being integrated into everyday appliances. A prime example of this is Samsung, which offers AI solutions in its smart AI fridge that can greatly impact the efficiency of one's household. Samsung is Already a Well-Known Company Worldwide Probably, when hearing the name Samsung, we immediately think of smartphones, which are among the market leaders. However, the South Korean multinational company is a strong player in the home appliances and consumer electronics industry, standing out with its innovative and modern solutions beyond just the smartphone market. Samsung Electronics ranks as the 24th most valuable company in the world by market capitalization, which, as of May 2023, stood at $325. 10 billion. AI Era In the Company Samsung started talking about a new AI era back in 2024, after introducing its first refrigerator, washing machine, and air conditioner in 1974, and since 2019, Bespoke appliances have been developed. One such device is the AI fridge, which is gradually improving with the introduction of new features. Currently, Samsung has introduced its latest smart fridge model, "Side by Side" with "Family Hub" – pre-orders have already begun (the price is €2,649). Artificial intelligence in Samsung refrigerators is integrated into several aspects: Smart display. With "Family Hub", the user can easily control the refrigerator by voice (using "Samsung Bixby"). The screen allows sharing photos, listening to music, and receiving useful information directly on the refrigerator screen... --- SuperNODE is a revolutionary single-node AI supercomputer that connects up to 32 GPUs with the performance characteristics of physically integrated accelerators, delivering 46,755 tokens per second for Llama 2 70B inference while maintaining 99. 7% scaling efficiency. This breakthrough platform eliminates traditional multi-server complexity, reduces infrastructure costs by 30%, and accelerates AI development through seamless GPU composability powered by GigaIO's FabreX memory fabric technology. Image credit: GigaIO Artificial intelligence development faces a fundamental infrastructure bottleneck. Traditional server architectures force AI researchers and enterprises to distribute GPU resources across multiple nodes, creating network latency issues, complex software requirements, and significant performance degradation. SuperNODE addresses these challenges by reimagining how accelerated computing systems connect and scale, offering a transformative approach to AI infrastructure that maintains simplicity while delivering unprecedented computational power. Image credit: GigaIO Revolutionary Architecture Transforms AI Computing Limitations Modern AI workloads, particularly large language models and generative AI applications, demand computational resources that exceed conventional server boundaries. Standard configurations typically limit organizations to eight GPUs per server, forcing complex multi-node deployments with inherent performance penalties. SuperNODE breaks through these constraints by creating the world's first 32-GPU single-node configuration. This achievement stems from GigaIO's FabreX dynamic memory fabric, which enables accelerators to communicate as if they resided within a single server chassis while maintaining native PCIe performance characteristics. The system supports both AMD Instinct MI300X and NVIDIA accelerators, providing organizations with vendor flexibility while eliminating lock-in concerns. Each GPU maintains full bandwidth access to system memory and peer devices, creating a... --- An AI prompt generator is a sophisticated software tool that leverages artificial intelligence to create writing prompts, creative ideas, and content suggestions automatically. These tools analyze vast datasets to produce tailored prompts that spark creativity, overcome writer's block, and accelerate content creation across multiple formats and genres. Artificial intelligence, AI prompt generation - abstract artistic impression. Image credit: Alius Noreika / AI The digital content landscape demands constant innovation and fresh perspectives. Writers, marketers, and creative professionals face mounting pressure to produce engaging material while battling creative stagnation. AI prompt generators emerge as powerful allies in this challenge, offering intelligent solutions that transform how we approach content creation. Understanding AI Prompt Generation Technology AI prompt generators function as intelligent writing assistants that combine machine learning algorithms with extensive content databases. These tools process user inputs and generate customized suggestions ranging from simple sentence starters to complex creative scenarios. The technology operates by analyzing patterns in successful content, identifying trending topics, and understanding contextual relationships between different writing elements. Users input basic parameters such as topic, tone, or target audience, and the system responds with relevant, actionable prompts designed to stimulate creative thinking. Modern prompt generators extend beyond basic text suggestions. They can produce visual inspiration, story concepts, marketing angles, and even technical writing frameworks. This versatility makes them valuable across industries, from fiction writing to business communications. Core Advantages of AI Prompt Generation Enhanced Creative Stimulation AI prompt generators introduce users to unexplored creative territories. By processing diverse content sources,... --- AI systems achieve full compliance with attention bias regulations through a multi-layered approach: comprehensive bias detection during development, diverse training datasets that represent all user groups, algorithmic auditing with third-party validation, attention-debiasing techniques built into model architecture, and human oversight systems that catch errors before they impact users. This systematic approach transforms biased AI systems into fair, transparent tools that meet regulatory standards while building user trust. Artificial intelligence - artistic impression. Image credit: Freepik, free license Modern AI systems face unprecedented scrutiny as attention mechanisms—the core technology powering everything from language models to facial recognition—can inadvertently create discriminatory outcomes. When these systems focus disproportionately on certain input features while ignoring others, they risk perpetuating societal biases and violating compliance standards across industries. Understanding Attention Bias in AI Architecture The Mechanics of Biased Focus Attention mechanisms in AI models function like selective filters, determining which parts of input data deserve the most computational focus. Transformers and neural networks use these mechanisms to process language, images, and complex datasets by assigning importance weights to different elements. However, this selective attention can become problematic when models consistently overemphasize certain demographic markers, geographic regions, or behavioral patterns while systematically undervaluing others. The architecture itself can introduce bias through positional preferences—favoring information at the beginning or end of sequences—or through learned associations that reflect historical discrimination embedded in training data. Unlike traditional programming bugs, attention bias emerges from the model's learned behavior, making it harder to detect and more challenging to eliminate. Data-Driven Discrimination... --- AI trading bots demonstrate limited reliability for consistent profits, with success largely attributed to luck rather than algorithmic superiority. While these systems can provide short-term edges through pattern recognition, their long-term effectiveness remains questionable due to data biases, market unpredictability, and the fundamental challenge of distinguishing correlation from causation in financial markets. Trading in stock market - artistic impression. How reliable are trading bots in reality? Image credit: Rawpixel via Freepik, free license The reality behind AI trading bots reveals a complex landscape where technological capability meets market volatility. Despite impressive marketing claims and isolated success stories, evidence suggests that automated trading systems face significant limitations that prevent them from delivering the consistent returns many investors expect. Understanding AI Trading Bot Mechanics Pattern Recognition Versus Prediction Modern AI trading systems and AI trading bots operate primarily through two approaches: machine learning pattern identification and sentiment analysis of news trends. Pattern recognition algorithms analyze historical market data to identify recurring behaviors, while sentiment analysis systems process news feeds and social media to gauge market sentiment. The fundamental challenge lies in distinguishing meaningful patterns from random noise. As one experienced trader noted, "You say there's a lot of patterns in the stock market. There's almost as many in pure noise. " This observation highlights the core difficulty in creating reliable trading algorithms that can separate genuine market signals from statistical coincidences. The Science Behind Effective Trading Algorithms Legitimate algorithmic trading requires rigorous scientific methodology, including proper hypothesis testing and understanding of cause-and-effect... --- Claude 3. 5 Sonnet emerges as the superior choice for coding and creative writing tasks, delivering nearly bug-free code on first attempts and more natural, human-like text generation. GPT-4o maintains advantages in mathematical reasoning (76. 6% vs 71. 1% on MATH benchmark), speed (24% faster response times), and multimodal capabilities including web search access. For developers and content creators, Claude offers exceptional value, while GPT-4o serves users requiring fast responses and comprehensive tooling. Claude 3. 5 Sonnet vs GPT-4o - abstract artistic interpretation. Image credit: Alius Noreika / AI Both models represent cutting-edge AI technology, but your choice depends on primary use cases: Claude for sophisticated text and code work, GPT-4o for versatile, rapid-fire tasks across multiple domains. Introduction The artificial intelligence landscape experienced a dramatic shift in 2024 when Anthropic released Claude 3. 5 Sonnet and OpenAI unveiled GPT-4o. These flagship models now dominate conversations among developers, content creators, and AI enthusiasts seeking the most capable language model for their workflows. Claude 3. 5 Sonnet sets new industry standards in graduate-level reasoning, undergraduate-level knowledge, and coding proficiency, while GPT-4o is OpenAI's high intelligence model offering versatile processing of text, audio, image, and video inputs. Understanding their distinct strengths helps users make informed decisions about which AI assistant deserves a permanent spot in their toolkit. Performance Benchmarks: Where Each Model Excels Graduate-Level Reasoning Capabilities Claude 3. 5 Sonnet leads with a 59. 4% score on 0-shot CoT GPQA, while GPT-4o has a 53. 6% score on zero-shot CoT. This benchmark... --- What Started Out as a Dorm Room Idea In 2017, what began as a college project by Anil Jason to support English Language Learners quickly grew into one of the most widely used AI writing assistants on the web. With the help of co-founders Rohan Gupta and David Silin, the trio launched QuillBot’s first tool: a paraphraser. It wasn’t long before the product found its footing, going viral on Reddit and securing a spot in the University of Illinois’ iVenture Accelerator. Fast forward to today, QuillBot has expanded into a full-suite writing platform under the umbrella of Learneo, a parent company focused on productivity tools. With over 56 million monthly active users across QuillBot, Scribbr, and LanguageTool, the vision of democratizing writing support is in full motion. What QuillBot Does and How It Works At its core, QuillBot is a web-based platform designed to assist users in producing clear, polished, and original writing. Whether you're composing an essay, email, blog post, or research paper, QuillBot offers a range of tools that refine your text with just a few clicks. Its flagship feature—the Paraphraser—allows users to reword sentences while maintaining their meaning, offering multiple styles to match tone and clarity needs. But QuillBot is more than just a paraphrasing tool. It includes a grammar checker, plagiarism detector, summarizer, citation generator, translator, and a growing selection of writing aids. Recently, it introduced two standout features: an AI detector that distinguishes between human- and AI-written text, and an AI Humanizer, which tweaks machine-generated... --- Beyond the Text Box This April, Character. AI introduced AvatarFX, a video-generation model that marks a new chapter in synthetic media. Still in closed beta, AvatarFX allows users to animate AI-generated characters in a range of styles—from realistic humans to expressive 2D cartoons and talking animals. Unlike typical text-to-video models, AvatarFX also lets users animate from a single static image, offering more direct control over the resulting visuals. Image source: character. ai This approach distinguishes it from more generalized competitors such as OpenAI’s Sora, which focuses on turning text prompts into cinematic clips. AvatarFX instead emphasizes customization and interactivity, aligning with Character. AI’s roots in conversational roleplay. Early users can now see their digital companions come to life with movement and voice, powered by a proprietary TTS engine and diffusion-based architecture. But this kind of expressive potential comes with complexity. Even as it opens creative doors, AvatarFX forces a reckoning with the darker possibilities of synthetic video. Uploading real human images—even with the intention of playful animation—can easily cross lines. Deepfakes are no longer confined to obscure forums or underground software; they’re approaching mainstream accessibility. Architecture of a Digital Face The backbone of AvatarFX is a flow-based diffusion system built on DiT architecture, which excels in generating coherent and expressive movements across longer video sequences. It captures subtle gestures—head tilts, lip sync, and hand motion—with surprising fidelity. Character. AI’s team curated a diverse video dataset to train the model, carefully filtering for motion variation and visual quality. Audio is generated... --- OpenAI has introduced o3-pro, naming this advanced artificial intelligence system as their pinnacle achievement in machine learning capabilities. OpenAI logo on a smartphone screen. Image credit: Levart_Photographer via Unsplash, free license This enhanced iteration builds upon the foundation of their o3 reasoning architecture, which debuted earlier this year with a focus on methodical problem-solving approaches. Unlike traditional language models that generate immediate responses, reasoning systems like o3-pro employ deliberate analytical processes. These models examine challenges systematically, breaking down complex scenarios into manageable components—a methodology that proves particularly effective for mathematical computations, scientific inquiries, and software development tasks. The deployment strategy targets professional users initially, with ChatGPT Pro and Team subscribers gaining immediate access starting Tuesday. OpenAI has scheduled Enterprise and Educational tier availability for the following week, while developers can integrate the model through the company's API platform as of Tuesday afternoon. Financial considerations reflect the model's computational intensity, with API pricing set at $20 per million input tokens and $80 per million output tokens. To contextualize this scale, one million input tokens encompasses approximately 750,000 words—slightly exceeding the length of Tolstoy's "War and Peace. " Image credit: OpenAI Performance evaluations reveal compelling advantages over existing alternatives "In expert evaluations, reviewers consistently prefer o3-pro over o3 in every tested category and especially in key domains like science, education, programming, business, and writing help," OpenAI writes in a changelog. "Reviewers also rated o3-pro consistently higher for clarity, comprehensiveness, instruction-following, and accuracy. " The system incorporates comprehensive tool integration, enabling web searches,... --- Google’s dominance in the search engine market has long been clear and unquestionable, as for many people the idea of using a search tool instantly equates to using Google. At least for now. However, after many years at the top, Google may soon face real competition, as new tech giants prepare to challenge its position — and Perplexity is one of the first to make its intentions known. Perplexity CEO Hints at a Potential Rivalry with Google Perplexity is an artificial intelligence (AI) tool designed for information retrieval. At present, it still relies on third-party models such as ChatGPT-3. 5, GPT-4, and Claude 3. Aravind Srinivas, the company’s CEO, has hinted that company plans to challenge Google’s dominance in the search engine market. Their AI assistant could soon come pre-installed on Android devices, and the company is working on a brand-new web browser. The browser, named Comet, is expected to launch soon. In an interview with The Verge, Srinivas explained that the new browser will focus on expanding access to various services: "The reason we’re doing the browser is that it might be the best way to build agents. It can let you access other third-party services through hidden tabs if you’re already logged into them, scrape the page on the client side, and perform reasoning and take actions on your behalf. " Because Google is recognized as a monopolistic search engine, it has been able to secure distribution deals with Android phone manufacturers. In contrast, Perplexity is expected to... --- As artificial intelligence continues to expand its influence across industries, one critical area remains largely untapped: structured data. Spreadsheets, databases, and business intelligence reports are integral to decision-making, yet they often require specialized skills to extract meaningful insights. For the untrained, navigating scattered data—whether in an Excel sheet, a CSV file, or a Power BI report—can be a frustrating exercise in futility. But what if those barriers could be lowered? Microsoft aims to answer that question with Analyst, an AI-powered reasoning agent embedded in M365 Copilot. A New Approach to Analytical Reasoning Traditional AI models often prioritize speed over depth, producing results that may lack adaptability when faced with complexity. Analyst is designed differently. Built upon OpenAI’s o3-mini model and fine-tuned for analytical tasks, it operates through a reasoning-driven, chain-of-thought (CoT) approach. Instead of rushing to a conclusion, it methodically evaluates each step—identifying patterns, testing hypotheses, and refining its answers as new information emerges. This ability to iterate is critical. Analyst does not just retrieve data; it interprets and synthesizes it, making it particularly useful for business intelligence applications where nuanced insights can make all the difference. Handling the Messiness of Real-World Data Business data is rarely neat. Consider a common scenario: a project manager looking for quarterly performance insights across multiple files. Some figures are buried deep within an Excel sheet, while others are trapped in an inconsistent TSV file that uses commas instead of tabs. For most tools, this lack of uniformity would result in errors or incomplete... --- Sales teams waste countless hours manually researching prospects, sending generic outreach emails, and working with outdated contact information. A useful tool based on AI technology, Lusha, eliminates these productivity killers by combining artificial intelligence with comprehensive B2B data to streamline your entire sales operation. In this article, you will discover how Lusha transforms manual prospecting into an automated, AI-driven process that delivers higher-quality leads, accurate contact data, and personalized outreach at scale. Image credit: Lusha What is Lusha? The AI-Powered Sales Intelligence Revolution Lusha operates as a comprehensive sales intelligence platform that harnesses artificial intelligence to revolutionize how businesses identify, connect with, and convert prospects. The platform serves over 280,000 revenue teams globally, including major enterprises like Amazon, Google, Microsoft, Salesforce, and Spotify. The core mission centers on eliminating manual prospecting work while delivering superior results. Instead of sales representatives spending hours researching contacts and crafting individual emails, Lusha's AI engine handles the heavy lifting automatically. Image credit: Lusha The Technology Behind Lusha's Success Lusha's proprietary AI algorithms analyze millions of data points across 4 million unique domains, processing 16. 3 billion monthly interactions to deliver precise prospect recommendations. This massive data processing capability enables the platform to: Identify high-intent prospects based on behavioral signals Predict which companies are actively seeking solutions Generate personalized outreach sequences that resonate with specific audiences Continuously learn from user interactions to improve recommendation accuracy The platform maintains strict compliance standards, holding certifications for GDPR, CCPA, ISO 27701, and ISO 27001. This ensures all data... --- Not too long ago, artificial intelligence (AI) seemed like a surreal possibility and a technology used only in movies. Today, when discussing tools such as ChatGPT, we see that machine intelligence has far exceeded all our expectations and proven its power. However, this did not happen overnight — it is the result of decades of research, inventions, and experiments. How Has AI Evolved Over the Years? One key aspect of machine intelligent is that these systems, especially AI-powered robots, can automate tasks. The idea of automation itself is not new, as inventors in ancient times attempted to create various objects known as "automata. " One of the earliest recorded automata dates back to 400 BC and is associated with a mechanical pigeon, which was created by one of the philosopher Plato’s friends. The 20th Century Marks the Beginning The true evolution of intelligent systems can be traced back to 1900-1950. During this period, discussions about artificial intelligence, its possibilities, and its potential to create AI brains became more prominent. In 1950, interest in machine intelligent grew even stronger when Alan Turing published his work "Computer Machinery and Intelligence", where he introduced the concept of machine learning, then referred to as "The Imitation Game. " Two years later, computer scientist Arthur Samuel developed a program to play checkers, which became the first to learn how to play the game independently. Then, in 1955, John McCarthy used the term "artificial intelligence" during a seminar — a term we use so widely today.... --- Golf coverage has long presented a unique challenge for broadcasters. Unlike sports confined to a single field or court, a golf tournament unfolds across sprawling landscapes, with up to 156 players simultaneously executing shots on an 18-hole course. With thousands of shots taken during a single event, ensuring comprehensive and engaging coverage has been a persistent hurdle. In response, the PGA TOUR has turned to artificial intelligence to enhance how fans engage with the sport. At the heart of this effort is the AI-powered shot commentary in TOURCAST, the PGA TOUR’s digital tracking system. TOURCAST, an extension of ShotLink, provides real-time shot trails and statistical insights for every shot in a given tournament. The latest AI integration, developed in collaboration with AWS, adds a layer of dynamic, real-time commentary, offering fans detailed breakdowns of each shot’s significance within the broader competition. This feature debuts at THE PLAYERS Championship at TPC Sawgrass, with plans for continued expansion. “Our goal has always been to ensure that every player receives coverage,” said Scott Gutterman, the PGA TOUR’s senior vice president of digital and broadcast technologies. “Generative AI allows us to scale this effort and deliver meaningful content for any player at any point in time. ” This AI-generated commentary not only describes the action but also provides context—highlighting a golfer’s positioning on the leaderboard, the difficulty of a particular hole, and the strategic implications of a given shot. For fans, this means a more immersive and informative experience that extends beyond scores and... --- Virtual assistants are taking an increasingly larger share of the market – from the simplest functions to the automation of complex tasks in various situations. Alongside the growing needs of users, the number of service providers is also rising. One of them – Apple’s Siri – is making more noise about potential upgrades, which could be released in the near future. Apple News It is already known that Apple plans to release the latest version of their virtual assistant, with major improvements in personalization. Back in early March this year, the company announced a delay in launching the enhanced personalized features of AI assistant, and the latest discussions leave room for speculation, with expectations that the updates could reach users as early as this fall. Regardless of when the new version of this virtual assistant is released, certain improvements can already be anticipated. For example, Apple spokesperson Jacqueline Roy summarized the upcoming Siri changes: “Siri helps our users find what they need and get things done quickly, and in just the past six months, we’ve made it more conversational, introduced new features like type to Siri and product knowledge, and added an integration with ChatGPT. We’ve also been working on a more personalized virtual assistant, giving it more awareness of your personal context, as well as the ability to take action for you within and across your apps. It’s going to take us longer than we thought to deliver on these features. ” It is expected to be one of... --- A Model That Thinks Smaller In a research landscape dominated by ever-larger models and escalating hardware demands, Microsoft has taken a contrarian step. Its latest creation, BitNet b1. 58 2B4T, is not about pushing scale but refining efficiency. With 2 billion parameters compressed into a mere 400 megabytes, the model challenges the assumption that performance in artificial intelligence must come at the cost of size and power. What sets BitNet apart is its foundation as a 1-bit large language model, or “bitnet. ” While traditional AI systems use 16- or 32-bit weights—numeric values that determine how the model processes data—BitNet reduces those to just three options: -1, 0, and 1. This approach slashes memory use and computation time, making it possible to run the model on standard CPUs, including Apple’s M2 chip, rather than on high-end GPUs. Trained on a massive corpus of 4 trillion tokens—equivalent to tens of millions of books—BitNet manages to deliver competitive performance in reasoning and language tasks, all while consuming a fraction of the computational resources used by its peers. The Trade-Offs of Compression Despite its efficiency, BitNet doesn’t arrive without constraints. The model requires Microsoft’s custom bitnet. cpp framework to run, which means it only works with select hardware setups. Notably, it cannot run on GPUs—the current backbone of AI deployment in cloud services and research institutions. According to Microsoft, this limitation is a temporary side effect of building models optimized for a different computational paradigm. In benchmark tests, BitNet has demonstrated performance on... --- The traditional software-as-a-service (SaaS) model is breaking down. Teams juggle dozens of disconnected tools while productivity suffers under the weight of fragmented workflows. In this regard, Zeligate is a revolutionary solution—not another AI assistant, but a complete AI workforce that replaces chaotic tool stacks with intelligent digital co-workers called "Zelis. " Image credit: Zeligate. ai What Makes Zeligate Different from Traditional AI Tools Zeligate operates as your AI center of work, delivering a modular system of trained digital employees who execute complete workflows rather than generating simple responses. Unlike chatbots or basic AI plugins, these Zelis understand business processes from day one and improve through continuous learning. The platform delivers remarkable efficiency gains: users reclaim 47 hours per hire, access 42% more features compared to industry-leading alternatives, and achieve 60% cost savings while maximizing return on investment. Core AI Co-Workers: Meet Your Digital Zeligate Team Image credit: Zeligate. ai Recruiter Zeli: Revolutionizing Talent Acquisition Recruiter Zeli transforms hiring from a time-consuming process into a streamlined operation. This AI co-worker handles the first nine steps of recruitment, allowing human recruiters to focus on final interviews and decision-making. Key Capabilities: Writes comprehensive job descriptions from brief role prompts Screens every applicant with fact-based scoring and tagging Conducts automated reference checks with concern flagging Summarizes candidate profiles into 30-second briefs Ranks candidates against job requirements and entire applicant pools Recruiter Zeli operates with remarkable precision, transforming minimal input into comprehensive hiring workflows. When you provide just a basic role description, this AI co-worker... --- Business productivity demands more than traditional tools can deliver. While most teams juggle multiple disconnected applications, Motion AI consolidates everything into one intelligent platform powered by artificial intelligence. This comprehensive platform transforms how individuals and teams manage projects, schedule tasks, and coordinate work through advanced automation. Image credit: Motion AI What Is Motion AI: The AI-Powered Productivity Revolution Motion represents the first comprehensive AI-driven productivity platform designed for the modern workplace. Unlike conventional project management tools that require constant manual updates, Motion AI uses artificial intelligence to automatically plan, prioritize, and optimize work across entire organizations. The platform combines eight essential productivity tools into one seamless experience: AI project management, intelligent task planning, automated calendar scheduling, meeting transcription, document creation, workflow automation, business intelligence dashboards, and team coordination systems. Over one million professionals and teams currently rely on Motion to streamline their operations. Motion's core strength lies in its ability to understand context across all work activities. Rather than treating tasks, projects, meetings, and documents as separate entities, the platform creates connections between everything, enabling more accurate planning and intelligent automation. Image credit: Motion AI Core Motion AI Features That Transform Daily Operations Intelligent Task Planning and Prioritization Motion's AI Task Planner eliminates the guesswork from daily planning by automatically analyzing hundreds of data points including deadlines, priorities, dependencies, durations, and team capacity. The system creates optimized schedules that update continuously throughout the day, ensuring teams never miss critical deadlines. The platform distinguishes between "do dates" and due dates, building... --- Content creators invest countless hours recording podcasts, videos, and conversations, only to face the overwhelming task of repurposing that content. Transcription, show notes, social media posts, newsletters, and blog articles require additional time that most creators simply don't have. This bottleneck prevents many talented creators from maximizing their content's reach and impact. Castmagic enters this market segment as a solution designed specifically to eliminate this post-production burden. The platform transforms a single recording into dozens of ready-to-publish content assets, allowing creators to focus on what they do best: creating engaging original content. Image credit: Castmagic What Is Castmagic: AI-Powered Content Multiplication Castmagic operates as an intelligent content automation platform that converts audio and video recordings into multiple content formats simultaneously. The company has processed over 10 million minutes of content for more than 75,000 creators, establishing itself as a trusted solution in the content creation ecosystem. The platform serves podcast hosts, video creators, coaches, marketers, and business professionals who produce long-form content. Rather than replacing human creativity, Castmagic amplifies existing content by automatically generating complementary materials that extend reach across multiple channels. Image credit: Castmagic Core Technology and AI Integration Castmagic leverages advanced artificial intelligence to handle the technical aspects of content processing. The system begins with high-accuracy transcription that removes filler words and separates speakers automatically. This foundation enables the AI to understand context, tone, and key messages within the original recording. The platform's AI engine then generates content assets tailored to specific formats and platforms. Each output maintains... --- Managing client projects shouldn't drain your energy or consume endless hours chasing approvals and information. Motion. io represents a paradigm shift in how service-based businesses handle client relationships, combining artificial intelligence with intuitive design to create seamless project workflows that actually deliver results. This comprehensive platform addresses the fundamental challenge facing agencies, consultants, and service providers: the constant back-and-forth communication that stalls progress and frustrates both teams and clients. Instead of juggling multiple tools and platforms, Motion. io consolidates everything into a single, powerful ecosystem. Image credit: Motion. io Understanding Motion. io's Core Philosophy Motion. io operates on a simple yet revolutionary principle: eliminate manual bottlenecks while maintaining professional client relationships. The platform achieves this through white-labeled client portals that require zero login credentials, automated workflow triggers, and intelligent task management systems. The company has built its reputation serving thousands of agencies, consultants, and software companies who've discovered that traditional project management tools fail to address the unique challenges of client-facing work. Unlike generic project management platforms, Motion. io specifically targets the pain points that emerge when external stakeholders must actively participate in project completion. Image credit: Motion. io Core Features That Transform Client Workflows White-Labeled Client Portals: Your Brand, Their Experience Motion. io's client portals eliminate the friction typically associated with client collaboration. These portals function without requiring clients to create accounts or remember passwords. Instead, clients receive magic links via email that provide instant, secure access to their project workspace. Image credit: Motion. io Portal customization extends far... --- At the end of March, OpenAI released an updated version of ChatGPT's image generation tool with „4o“. This is yet another proof of how powerful artificial intelligence (AI) technology is. Moreover, it demonstrates the rapid pace at which today's AI tools are advancing, offering even more sophisticated capabilities. The New Version Brings Enhanced Features The new ChatGPT image generation version comes with improved capabilities. Latest update stands out for its ability to accurately recreate requested prompts, drawing from a vast knowledge base and identifying all details within a conversation. „4o“ has replaced the previous DALL·E AI model, though DALL·E will not be removed, and users will still have access to it. The updated version is available across various plans: Plus, Pro, Team, and Free (although access is currently limited due to high demand). What’s New in „4o“ Version? When introducing the updated image generation tool, OpenAI highlighted the following aspects: Improved contextual interaction. ChatGPT’s image generator was trained using online images along with text. During the training process, significant emphasis was placed on understanding visual content to ensure images are not only visually appealing but also highly accurate and realistic. Enhanced text representation. Previous models struggled with properly controlling and rendering text within generated images. Now, the system can accurately and grammatically correctly insert words into visuals. Multi-Level interaction. The „4o“ now offers enhanced interaction capabilities. Within the same conversation window, the tool will retain previous context, reducing the need to restart the entire process for each new request. Greater... --- Chrome browser gets AI-powered intelligence boost with Gemini AI. Google Gemini AI now works directly in the Chrome browser. Image credit: Christing Hume via Unsplash, free license Google unveiled a significant upgrade to its Chrome browser during the Google I/O conference, introducing direct integration with its Gemini artificial intelligence assistant. This is probably the first instance where users will now be able to interact with web content, bringing conversational AI capabilities directly into the browsing experience. The integration will also elevate Chrome from a passive web viewer into an intelligent browsing companion capable of understanding, analyzing, and summarizing web content in real-time. Novel Web Content Analysis Features Granted by Gemini AI Intelligent Page Summarization and Clarification The Gemini AI integration introduces sophisticated content analysis capabilities that fundamentally change web browsing dynamics. Users can now access instant clarification of complex information on any webpage through a streamlined interface. According to Josh Woodward, VP of Google Labs and Gemini, the AI assistant can "clarify complex information on any webpage you're reading or summarize information" with remarkable accuracy and speed. The system operates through an intuitive sparkle icon positioned in Chrome's top-right corner. Clicking this icon launches a floating, resizable chatbot interface that maintains visibility while users navigate different sections of websites. Advanced Multi-Tab Intelligence Chrome's Gemini AI integration extends beyond single-page analysis to offer comprehensive multi-tab functionality. Users can maintain ongoing conversations with the AI assistant while navigating between different browser tabs, creating a seamless research experience. The technology will evolve further... --- Clients expect fast and clear responses whenever they reach out for help. Many industries now use chatbots as the first point of contact for users. These tools assist with gathering information and scheduling consultations more easily. But do chatbots really improve client engagement and experience? How can businesses make a strong first impression with automated interactions? Are chatbots helpful in managing high volumes of inquiries without losing personalization? What role do chatbots play in building trust before clients speak to a human? In this article, we will explore how chatbots are changing the way companies connect with new clients. Redefining the First Impression with Digital Tools First impressions significantly influence how clients view your business overall. Chatbots are available around the clock to deliver immediate answers to client inquiries. Customers need not wait long, reducing frustration and lost leads. This growing demand for instant communication is backed by recent data. In 2024, Statista reported that 82% of consumers said they prefer chatbots over waiting on hold. People want speed and efficiency, and chatbots deliver both in customer service. An impressive 96% of shoppers believe more companies should switch to chatbot support. That kind of number shows just how much user expectations have shifted toward instant help. Chatbots ask questions that matter and give helpful answers quickly. They speak professionally and show empathy consistently across all interactions. Automated tools create calm and respectful engagement from the start. This positive interaction encourages clients to continue the conversation further. How do chatbots contribute... --- AI is rapidly transforming the everyday life of various fields by implementing innovative solutions and improving performance outcomes. Along with this, AI technology itself is advancing, surprising us with new achievements. However, in this field, AI faces challenges, as in some cases, progress is limited by technological aspects — processor power, i. e. , computing speed and energy consumption. Here, all eyes turn to one alternative — neuromorphic computing, which we will discuss in this article. What is Neuromorphic Computing? In basic, this computing model is based on the aspect that it is computing that mimics the functioning of the human brain. This means that such computing can imitate the neural and synaptic structures and functions of the brain, resulting in specific hardware or software thinking like a human. This field is becoming more widely discussed, but it is not entirely new. Misha Mahowald and Carver Mead laid the foundations for this technology in the 1980s by creating the first silicon retina, silicon neurons, and synapses, which attempted to achieve the ideal operation based on the replication of human brain activity. Why is Neuromorphic Computing Significant? As mentioned, with the increasing development of AI and its applicability, traditional methods will soon no longer be sufficient, leading to a growing demand for more powerful computing methods. Meanwhile, neuromorphic computing is one of the options that can help accelerate AI growth — offering greater computational performance and serving as one of the potential components of artificial superintelligence. The Main Principles of Neuromorphic... --- When Monica, a Chinese AI startup, unveiled Manus AI on March 6, 2025, the artificial intelligence community took notice. Unlike traditional language models that require ongoing human supervision, Manus operates as an autonomous AI agent, executing complex real-world tasks with minimal intervention. This leap forward raises questions about AI’s role in professional and personal tasks, opening up a vast range of possibilities. By analyzing how users have applied Manus AI so far, we can see how it is being utilized across industries. Here are 20 interesting real-world examples of its use. Financial and Business Analysis 1. Deep Stock Analysis Investors leverage Manus to generate in-depth stock evaluations, covering financial health, market trends, and investment opportunities. Visual dashboards make complex data easily digestible. 2. Comparative Analysis of Insurance Policies Manus simplifies policy selection by generating structured comparison tables, highlighting key differences between travel insurance options for more informed decision-making. 3. B2B Supplier Sourcing For companies seeking reliable vendors, Manus scans industry databases to identify optimal suppliers based on price, quality, and reputation. 4. Online Store Operation Analysis E-commerce sellers benefit from Manus’s ability to analyze sales data, generate performance insights, and suggest strategies to increase revenue. 5. Customer Form for B2B Gen AI Consulting Firms For AI consulting firms, Manus generates lists of potential clients, detailing company profiles, contact information, and business needs before Series B funding rounds. 6. Largest Real Estate Brokerages in Major Metro Areas Manus compiles detailed breakdowns of the largest real estate brokerages in major metro areas,... --- Classical AI Powers Quantum Revolution Quantum computing - abstract artistic impression. Image credit: Alius Noreika / AI Quantum computers demand extraordinary precision. These sophisticated machines operate in environments where microscopic disturbances can derail calculations, requiring constant calibration and noise management across complex hardware-software architectures. Classical artificial intelligence emerges as the solution to quantum computing's most pressing operational challenges. Deep learning models now accelerate quantum state readout while dramatically improving measurement accuracy in neutral-atom quantum systems. These AI-driven approaches detect parameter drift and characterize quantum states with unprecedented speed, transforming quantum computer performance from the ground up. Machine Learning Tackles Quantum Error Correction Fault-tolerant quantum computing hinges on error correction—the ability to identify and fix quantum errors faster than they accumulate. Machine learning algorithms excel at recognizing error patterns and adapting correction strategies in real-time. This AI-powered error correction pushes quantum systems closer to the critical threshold where logical qubits outperform their physical counterparts. Reinforcement learning optimizes quantum gate pulse sequences, while Bayesian models enhance Hamiltonian learning and quantum control protocols. Rather than competing with quantum technology, classical AI serves as its essential foundation. Quantum Machine Learning: Promise and Reality Quantum machine learning represents the reverse proposition—using quantum computers to enhance artificial intelligence capabilities. Theoretical quantum algorithms promise exponential acceleration for specific linear algebra operations that power modern AI, from kernel methods to complex optimization problems. Quantum computers naturally handle probabilistic calculations, making them potentially superior for sampling from massive probability distributions in generative modeling applications. Quantum Boltzmann Machines could theoretically... --- Financial literacy is relevant to everyone, whether it is individuals or businesses. However, budgeting is often a guessing game — people hope to stay within planned limits but fail to assess their real financial capabilities. Businesses rely on preliminary data and attempt to predict future trends. Yet, the budgeting process can become smoother and more reliable with AI budgeting tools that support decision-making based on real data. AI Integration in Budget Planning In financial management, AI is emerging as an effective alternative for more reliable budgeting. Whether it is individual planning daily expenses or a large corporation managing complex finances, AI-powered solutions can offer valuable assistance. For personal budgeting, AI tools analyse spending patterns, identify potential financial risks, and offer tailored recommendations. These tools also help individuals allocate savings more efficiently. Similarly, in corporate financial decision-making, AI can process large datasets and past financial records, identifying weak points and risks. AI-powered tools can then suggest optimal solutions to mitigate these risks. So, AI has opened new possibilities for innovative financial management, from AI budgeting assistants that provide real-time recommendations to AI-driven investment platforms. Based on predictive analytics, AI tools can predict future trends, financial spikes and, based on this, help plan the most effective and realistic budget, savings opportunities, cost allocation strategies, etc. In corporate activities at the tactical level, such solutions not only save the company's time, but also improve the decision-making process and the entire financial management, considering the company's specific data, goals and risks. How AI Budgeting... --- The world of AI art creation has recently exploded with possibilities, but accessing powerful tools like Stable Diffusion often requires expensive hardware, complex installations, and technical expertise that puts many creators at a disadvantage. ThinkDiffusion solves this problem by delivering a comprehensive cloud-based AI art studio that puts professional-grade tools directly in your browser. Let's take a deeper look at what makes ThinkDiffusion an invaluable creative tool for everyone. Image credit: ThinkDiffusion What Makes ThinkDiffusion the Ultimate AI Art Platform ThinkDiffusion transforms how creators, businesses, and students access cutting-edge AI art technology. Instead of investing thousands in high-end GPUs or wrestling with complicated software installations, users get instant access to a fully-managed cloud workspace loaded with industry-leading open source applications. The platform serves major brands including Toyota, McDonald's, NFL, and academic institutions like EPFL and National University Singapore. Multi-Grammy winner Toni Braxton used ThinkDiffusion for her animated music video project, while luxury whiskey brand Chivas Regal leveraged the platform's video technology for commercial production. Cloud-Based AI Art Creation Without Limitations Unlike restrictive mainstream AI tools, ThinkDiffusion provides complete creative freedom through open source technology. Users can install any extensions, upload custom models, and access thousands of community-created resources without censorship or artificial limitations. The platform eliminates traditional barriers by providing dedicated GPU machines that run entirely in the cloud. Each user gets private workspace access with persistent storage, meaning all files, models, extensions, and settings remain exactly where you left them. Image credit: ThinkDiffusion Comprehensive Suite of Professional AI Tools... --- Canva has transformed from a simple design tool into a comprehensive AI-powered creative ecosystem that serves over 220 million monthly active users worldwide. This visual communication platform combines intuitive design capabilities with cutting-edge artificial intelligence, enabling anyone to create professional-quality content regardless of their design experience. Image credit: Canva The platform's evolution represents a fundamental shift in how we approach digital content creation, making sophisticated design tools accessible to everyone from solo entrepreneurs to Fortune 500 companies. With 95% of Fortune 500 companies now relying on Canva, the platform has proven its enterprise-grade capabilities while maintaining its user-friendly approach. Understanding Canva: The Complete Creative Ecosystem What Makes Canva Unique Canva operates as an all-in-one visual communication platform that eliminates the traditional barriers between concept and creation. Unlike conventional design software that requires extensive training, Canva's drag-and-drop interface enables immediate productivity while offering professional-grade results. The platform's strength lies in its comprehensive approach to content creation. Users can seamlessly transition between designing social media posts, creating detailed presentations, editing photos, building websites, and producing videos within a single environment. This integrated workflow eliminates the need for multiple specialized tools, significantly reducing complexity and costs. The AI-Powered Foundation At the heart of Canva's transformation is its sophisticated AI infrastructure, powered by Magic Studio and the conversational Canva AI assistant. These technologies work together to accelerate every aspect of the creative process, from initial ideation to final publication. The AI capabilities extend far beyond simple automation. Magic Studio includes intelligent design suggestions, automated... --- Mechanics have long had to deal with customers turning up with their own ideas of what is wrong with their car, with the diagnoses often varying significantly in quality and accuracy. With Google now displaying AI-generated summaries at the top of the search results pages for certain questions, drivers can quickly search for the remedy to the issues they are having with their vehicle. Many owners have turned to ChatGPT to diagnose issues with their cars, getting an instant response, often in some depth. But are these AI-generated summaries accurate? The view from the mechanics To find out how accurate these AI-generated summaries are, we interviewed a specialist. George Palmer, from George Edward Specialist Cars, knows Porsche 911’s inside out, especially the 996 generation manufactured between 1997 and 2006. We pitted George up against ChatGPT and Google’s Gemini to answer the following dilemma: “my porsche 996 is making a ticking noise” The ChatGPT response ChatGPT was quick to disclose that the issue could range from “minor to serious”, before providing a breakdown of the most common culprits that could be causing the issues. These included: Lifter tick Exhaust leak Fuel injector noise Loose spark plugs Camshaft deviation Worn IMS bearings All of the suggestions included a symptom, cause and potential fix, as well as some basic model-specific customisation about known issues of the 996. This will be followed up by suggestions of what to do, including: To check the oil level and quality Localise the sound Get a professional diagnosis... --- The digital content market out there demands consistent, engaging video production at scale. In this regard, Short AI is a revolutionary solution for creators seeking to automate their video production workflow while maintaining professional quality output. Image credit: Short AI What Makes Short AI the Ultimate Video Creation Platform Short AI represents a paradigm shift in content creation, offering an AI-powered ecosystem that transforms simple ideas into polished, monetizable videos. This comprehensive platform eliminates traditional barriers between concept and publication, enabling creators to generate professional-grade content without technical expertise or time-intensive editing processes. The platform's core strength lies in its automated approach to faceless video creation. Users can produce weeks of content in single sessions, addressing the persistent challenge of consistent content output that plagues many creators. The system handles everything from script generation to final publication, creating a seamless pipeline for content production. Revolutionary Faceless Video Technology Faceless videos have become the cornerstone of modern social media monetization, allowing creators to build substantial audiences without personal exposure. Short AI specializes in this format, offering multiple content types that cater to different audience preferences and platform requirements. The platform supports various faceless video formats including AI story videos, Reddit story adaptations, fake text message conversations, and animated dialogue sequences. Each format targets specific audience segments while maintaining the anonymity that makes faceless content so appealing to creators. The platform can automatically generate these diverse video types, with creators reporting significant audience growth and revenue increases through consistent faceless content deployment.... --- For decades, search engines have been the primary gateway to the internet. Google, Bing, and their counterparts have shaped how people access information, offering lists of links that lead users toward answers. But the rise of AI-powered chatbots is challenging this model, providing direct, conversational responses instead of search results that require further digging. According to a recent Adobe report, AI search referrals surged by 1,300 percent during the 2024 holiday season compared to the previous year. The study, which analyzed over a trillion visits to U. S. retail sites, found that users directed to websites through AI searches were more engaged. They stayed on pages 8 percent longer, browsed 12 percent more, and were 23 percent less likely to leave immediately. These numbers suggest that AI chatbots may not only be an alternative to search engines but could even be better at guiding users to relevant information. Expanding the Role of AI Chatbots The way people interact with search has changed. AI chatbots are no longer just used for quick factual queries; they are now serving as research assistants, shopping advisors, and travel planners. Adobe’s survey of 5,000 consumers found that 55 percent use AI search for general research, 47 percent rely on it for recommendations, and 39 percent turn to AI for shopping assistance. Retail is one of the biggest areas seeing AI-driven change. Instead of scanning through multiple product pages, users can ask an AI chatbot for the best-reviewed laptops under $1,000 or the top-rated running shoes... --- The latest technologies prove that artificial intelligence (AI) is becoming increasingly modern and adaptable across various fields. One such example is Alibaba’s newest AI update, which promises an even more convenient interaction between the system and the user. So, what makes Quark AI assistant so special? Alibaba Introduces Its Quark AI Assistant Update The Chinese technology giant Alibaba has introduced its flagship AI Super Assistant Application Quark. This is an upgraded version of Quark – a super AI assistant powered by Alibaba Qwen, an advanced reasoning model. Quark originally launched as a web browser in 2016. Essentially, with Quark AI assistant, Alibaba has embarked on a new phase of its AI strategy, as this is the company’s first platform utilizing proprietary models. Additionally, they aim to strengthen their position amidst growing competition in China, where new AI agents are emerging, vying for artificial general intelligence (AGI) capabilities. Capabilities of Alibaba’s Quark AI Assistant The AI assistant is designed to perform various tasks, from academic research and document preparation to image generation, presentations, medical diagnostics, travel planning, and problem-solving. The upgraded version includes the following capabilities: AI Chatbot Deep Thinking Deep Research Task Execution What Does the Quark AI Assistant Change? Quark is a leading AI-powered information service platform with over 200 million users in China. This update transforms the traditional search experience, offering users an all-in-one solution with the enhanced Quark AI assistant. Users can submit complex, multi-layered tasks or questions directly into the search system. In turn, the system... --- AI2's Olmo 2 1B redefines small language model performance. Image credit: Ai2 Smaller language models are carving out their niche where everything was dominated by large language models (LLMs). The nonprofit AI research institute AI2 has entered this arena with Olmo 2 1B, a compact yet powerful model that's challenging industry giants. Released under the permissive Apache 2. 0 license, this billion-parameter model delivers impressive capabilities while maintaining accessibility for developers with modest computing resources. Breaking Benchmarks Despite Its Size What sets Olmo 2 1B apart is its remarkable performance compared to similarly-sized models from major tech corporations. Despite its compact architecture, AI2's new offering outperforms Google's Gemma 3 1B, Meta's Llama 3. 2 1B, and Alibaba's Qwen 2. 5 1. 5B on critical benchmarks. The model particularly excels in arithmetic reasoning, scoring higher on the GSM8K benchmark than its competitors from tech giants. More impressively, Olmo 2 1B demonstrates superior factual accuracy on the TruthfulQA benchmark, suggesting AI2 has made significant strides in reducing hallucinations and improving knowledge reliability within constrained parameter counts. Image credit: Ai2 Unlike most language models shrouded in proprietary development processes, Olmo 2 1B stands out for its transparency. AI2 has released not just the model, but also the complete training infrastructure including code and datasets (Olmo-mix-1124 and Dolmino-mix-1124) used in its development. This unprecedented level of openness allows researchers and developers to replicate the model from scratch, fostering greater understanding and innovation in the field. Massive Training on Diverse Data Behind Olmo 2 1B's... --- In just over two years, ChatGPT has transformed from a novel text-generating tool into an AI behemoth with extraordinary capabilities and reach. What began as a productivity-enhancing chatbot has evolved into a versatile platform with 400 million weekly active users, reshaping how we interact with artificial intelligence and cementing OpenAI's position as a leader in generative AI technology. OpenAI "About" page section. Image credit: Solen Feyissa via Unsplash, free license The Meteoric Rise: ChatGPT's Journey from Launch to Global Phenomenon When OpenAI released ChatGPT in November 2022, few could have predicted its explosive adoption trajectory. The AI-powered chatbot quickly captivated users with its ability to generate essays, code, and creative content from simple text prompts. By November 2023, it had amassed 100 million weekly active users—a milestone that took industry giants like Instagram and TikTok years to achieve. ChatGPT's growth accelerated dramatically throughout 2024. According to Andreessen Horowitz, the platform reached 200 million weekly users by August 2024, then surged to 300 million by December 2024. By February 2025, a staggering 400 million people were using ChatGPT weekly, underscoring an unprecedented rate of technology adoption. This explosive growth coincided with the launch of advanced models like GPT-4o, which introduced powerful multimodal capabilities. Model Evolution: From GPT-3. 5 to Advanced Reasoning Systems ChatGPT's capabilities have evolved through several generational leaps in underlying AI models. Initially powered by GPT-3. 5, the platform has continuously improved with subsequent releases: GPT-4 and Beyond The release of GPT-4 in early 2023 marked a significant advancement... --- The travel industry is constantly evolving, and like many other sectors, one of the key innovations in recent years is artificial intelligence (AI). This technology significantly enhances various aspects of the industry, benefiting both travel agencies and individual travellers. So, what innovations does AI bring to the tourism sector? Let’s explore. AI in the Tourism Industry Artificial intelligence tools are becoming increasingly in demand. Today, any company involved in tourism is likely using at least one AI technology, with market projections estimating the industry's value at $1. 2 billion in 2026. In today’s world, travellers no longer need to spend hours planning itineraries, searching for attractions, finding suitable hotels or restaurants, or booking flights — AI can assist with all these tasks, providing a highly personalized experience. Therefore, AI tools fundamentally improve customer service by offering tailored solutions. 5 Ways AI is Applied in Tourism As mentioned earlier, AI applications are vast, so below, we highlight some of the most popular areas where AI is already transforming travel sector processes. AI assistants These tools are highly versatile, capable of handling various tasks, and, in some cases, even replacing the role of travel agencies. With these assistants, users can book flights, accommodations, and rental cars online. From a business perspective, such tools operate through platforms like Messenger, Skype, WhatsApp, and Viber to instantly offer users solutions and personalize their experience. For example, WestJet uses Juliet, a virtual travel assistant that helps customers plan their trips. Chatbots are also integrated into travel... --- The journey to finding the perfect tattoo has traditionally been filled with uncertainty—countless hours scrolling through Instagram, flipping through flash catalogs, or struggling to communicate your vision to an artist. In this regard, BlackInk AI is a game-changer, offering a fresh approach that merges cutting-edge AI technology with artistic expression. Image credit: BlackInk AI Founded in Chicago by Eric, BlackInk AI addresses a fundamental challenge in the tattoo world: the disconnect between imagination and visualization. The platform generates completely unique tattoo designs based on text descriptions, allowing users to see their ideas materialize in seconds rather than weeks or months. With over 1. 5 million users and growing daily, BlackInk AI has caught the attention of major publications including Inked Magazine, Huffington Post, and Yahoo News. The platform's success stems from its ability to facilitate tattoo design while respecting the artistry and permanence that tattoos represent. How BlackInk AI Transforms Your Tattoo Journey BlackInk AI simplifies the tattoo design process through an intuitive three-step approach: Sign Up and Join the Community - Create an account to join over 1. 5 million users. New members receive three free credits to begin generating designs immediately. Create Custom Designs - Use the AI tattoo designer to transform text descriptions into visual concepts. Specify style preferences, placement, and complexity to guide the AI toward your vision. Collaborate With Artists - Share your generated designs with tattoo artists to refine and bring them to life. The platform serves as a communication bridge between your imagination... --- The tattoo artistry is evolving rapidly, especially today, with AI becoming one of the key measures used to create, visualize, and implement tattoos in the real world. In this market segment, Ink Studio AI is among the leading platforms that transforms how people conceptualize and visualize their body art. By harnessing cutting-edge artificial intelligence, this innovative service empowers users to create customized tattoo designs in minutes instead of waiting weeks for traditional consultations. Let's take a deeper look at what Ink Studio AI does offer. Tattoo art. Image credit: Waldemar via Unsplash, free license Reinventing Tattoo Design Through Technology Ink Studio AI stands at the intersection of art and technology, offering a fresh approach to tattoo creation. The platform utilizes sophisticated AI models specifically trained on tattoo artistry to transform text descriptions into visually striking designs. Unlike conventional methods that require scheduling appointments with artists and potentially waiting weeks for design consultations, Ink Studio AI delivers instant results. Users simply describe their vision, select their preferred style, and watch as the AI generates custom designs tailored to their specifications. What truly sets this platform apart is its ability to understand tattoo aesthetics across multiple styles. From traditional American designs to contemporary minimalist approaches, the AI comprehends the nuances that define each artistic category. Comprehensive Style Options for Every Aesthetic Image credit: Ink Studio AI Ink Studio AI excels in versatility, offering an impressive array of tattoo styles that cater to diverse preferences: Neo-traditional designs feature bold lines and vibrant colors,... --- Microsoft’s latest research, introduces a groundbreaking tool for game creators: Muse, a generative AI model designed to enhance the game development process. Developed by Microsoft Research’s Game Intelligence and Teachable AI Experiences teams in collaboration with Xbox Game Studios’ Ninja Theory, Muse is capable of generating both game visuals and controller actions. By open-sourcing the model’s weights, sample data, and a demonstration tool through Azure AI Foundry, Microsoft invites developers to experiment and build upon this foundation, signaling a new chapter in interactive design. A New Approach to Gameplay Simulation Unlike traditional game development tools, which focus on isolated elements like artwork or level design, Muse takes a more integrated approach. Trained on 500,000 hours of gameplay data from Bleeding Edge, Muse can produce gameplay sequences from a single screenshot, offering developers a dynamic way to explore design choices. By modeling both images and player inputs, Muse generates playable snippets of gameplay that can extend for several minutes, providing multiple potential outcomes. Image source: MSN Under the Hood: How Muse Works Muse's architecture is built on an autoregressive transformer model with 1. 6 billion parameters. This approach allows the model to generate gameplay as a series of discrete tokens representing both visuals and controls, creating a more cohesive simulation. In contrast, earlier models like DeepMind’s Genie or Tencent’s GameGen-X relied solely on visual data, which limited their ability to emulate human interaction. By integrating controller inputs, Muse offers a more nuanced and responsive generation process. Bridging Creativity and Technology To... --- Nowadays, creating and maintaining an effective online presence demands both technical excellence and creative innovation. Luckily, there are a lot of tools to make this process easier. Among the most renowned brands, Hostinger is one of the most active players in the web hosting and website creation market, offering an impressive array of services that combine cutting-edge technology with user-friendly design. Let's look at what this company can offer, and if it meets your needs. Image credit: Hostinger Serving over 3 million website owners worldwide, Hostinger has built its reputation on delivering exceptional performance, innovative features, and remarkable value. Their comprehensive suite of services includes everything from budget-friendly shared hosting to powerful cloud solutions, alongside an AI-powered website builder that's revolutionizing how websites are created. This guide explores Hostinger's complete service ecosystem, with special focus on their groundbreaking AI-powered web design and development tools. Whether you're launching your first website or managing multiple online projects, this in-depth review will help you determine if Hostinger is the right partner for your digital journey. Hostinger: Company Overview Founded with a mission to make web hosting accessible and affordable without compromising on quality, Hostinger has grown into a global web services provider. The company maintains a robust infrastructure with data centers strategically positioned around the world, ensuring optimal performance regardless of your location. What truly sets Hostinger apart is their commitment to continuous innovation. They've consistently introduced cutting-edge features and technologies ahead of market trends, particularly in the area of AI-powered website creation... --- Do you feel overwhelmed by increasingly time-consuming work with your social media? Creating consistent, high-quality social media content across multiple platforms can be overwhelming, indeed. But that can change quite easily. Ocoya is one of the most comprehensive solutions that combines AI writing capabilities, design tools, scheduling features, and analytics—all in one unified dashboard. Let's take a deeper look into this powerful tool. Image credit: Ocoya What is Ocoya? Ocoya is an all-in-one social media management platform that leverages artificial intelligence to streamline content creation, scheduling, and performance tracking. Think of it as having ChatGPT, Canva, and Hootsuite combined into a single powerful tool. The platform serves businesses of all sizes looking to enhance their social media presence without the typical time investment or technical expertise required. Core Features That Make Ocoya Different (And Better) AI-Powered Content Creation Ocoya's AI writing assistant helps you generate marketing text for social media posts, blogs, emails, and ads in 28 languages. The process is remarkably simple: Choose your task (captions, blog posts, ad copy, etc. ) Describe what you want (including tone and target audience) Generate text instantly with unlimited variations The technological framework behind Ocoya's AI copywriting system leverages advanced natural language processing models similar to those powering ChatGPT. This technology analyzes millions of successful marketing campaigns to understand patterns of engaging copy across different industries and platforms. By processing your brief description, it can generate contextually relevant content that matches your brand voice while optimizing for engagement metrics specific to each... --- We live in an age of technology that is incredibly dynamic. While we can certainly identify many positive aspects of this, it also brings various threats. Today, it is easier than ever to get lost between real and fake information, counterfeits, and fraud. Solutions are constantly being sought to address these challenges, and Amazon is tackling them by leveraging the power of artificial intelligence (AI). How Does Amazon Use AI To Combat Intentional Malicious Activity? Since 2021, the company has nurtured a strong vision to make every effort to protect its audience and stakeholders from counterfeit products. Considering their opportunities in recent years, Amazon claims to have invested more than a billion dollars, employing thousands of people including machine learning scientists, software developers, and expert investigators whose mission is to protect customers, brands, selling partners, and the company’s store from fraud, illicit sales, and more. The company’s protection strategies are focused on four main areas: Strong and effective proactive efforts to safeguard the Amazon store. Industry-leading tools that support this protection. Increasing accountability for harm. Better customer protection and education. Perhaps one of the most important aspects of the company's operations in 2024 is the use of AI to prevent violations. Automated intellectual property protection and counterfeit detection systems can offer innovative solutions and report malicious activity quickly and efficiently. These systems have succeeded in doing so in 99% of cases. Amazon has also developed a Transparency program, through which 2. 5 billion product units were verified for authenticity. Meanwhile,... --- Creating high-quality, SEO-optimized content at scale is important for many businesses. But at the same time, this task presents a significant challenge for marketers, content creators, and businesses. The tools specially tailored for this purpose do exist, and one of them is called NeuralText. This specific platform is a comprehensive solution to the aforementioned problem, offering an AI-powered platform that transforms the content creation process from research to publication. SEO team - artistic impression. Image credit: Alius Noreika / AI What is NeuralText? NeuralText is an all-in-one AI platform designed to enhance content creation and SEO efforts while saving valuable time and resources. The platform combines advanced natural language processing with data-driven insights to help users produce compelling, ranking-worthy content with unprecedented efficiency. Trusted by major brands including eBay, Ray-Ban, Forbes, and many others, NeuralText has established itself as a premier solution for content teams seeking to streamline their operations and achieve better results. As Orit Mutznik, SEO Director at Forbes Advisor, notes, "NeuralText is a tool I use and love. It makes the SEO and content collaboration as simple as it should be. " Key Features of NeuralText's AI Content Platform Keyword Discovery and Clustering NeuralText's keyword discovery and clustering capabilities stand out as a cornerstone feature of the platform. Users can: Generate hundreds of long-tail keyword suggestions for any search term, complete with popularity metrics and trend data Quickly identify topic clusters to determine how many pages are needed to comprehensively cover a subject Organize keywords strategically to... --- Now you can transform your online presence in seconds, not weeks, with an effective tool called Durable. The digital content creation and advertising market has fundamentally changed how businesses connect with customers. Yet for many entrepreneurs and small business owners, creating a professional website remains a frustrating bottleneck—until now. Durable has reimagined website creation with their revolutionary AI-powered platform that's already helped over 1 million businesses establish their online presence across 250+ industries. Image credit: Durable Durable stands apart from traditional website builders by leveraging artificial intelligence to handle the heavy lifting. Simply enter your business details, and within 30 seconds, you'll have a fully-functional, professionally designed website tailored specifically to your industry. No coding knowledge required, no design skills necessary—just your business vision and Durable's intelligent platform. How Durable's AI Technology Powers Your Business Growth Behind Durable's streamlined interface lies sophisticated technology working tirelessly to boost your business visibility and growth. The platform doesn't just build websites—it creates comprehensive digital ecosystems designed to attract customers and drive revenue. AI Website Builder: Professional Design Without the Learning Curve Durable's core technology transforms the website creation process by selecting from customized templates based specifically on your business type. Whether you're a realtor, photographer, consultant, or run a cleaning service, the AI understands the unique needs and conventions of your industry. The intuitive editor empowers you to make any changes you desire without touching a single line of code. Add personal touches, modify content, or completely reshape sections—all through a user-friendly interface... --- Artificial Intelligence (AI) can be applied in a wide variety of fields – including some unexpected or hard-to-imagine areas. One of those is dating platforms, where AI solutions can undoubtedly be both effective and impactful. So, it’s no surprise that one of the most well-known dating platforms – Tinder – is also keeping up with this modernization and the integration of AI technology. AI in dating platforms Online dating in the age of technology is highly popular and takes place not only on social media, but also through dedicated dating apps. These platforms are now using AI to further personalize the user experience. One of the main benefits of AI on such platforms is finding the right match. The data amounts that algorithms can process are enormous. Based on interests, communication style, and behavioural patterns, AI tools can very precisely determine interpersonal compatibility. Moreover, dating apps like Tinder may include tools to reduce language barrier issues. With real-time translation features, users who speak different languages can easily hold a conversation. AI can also offer personalized advice and suggestions on how to communicate with another person – when is the best time to message them, what tone of voice to use when starting the conversation, and so on. This time Tinder offers something unique As of 2024, Tinder has 9. 6 million subscribers – more than any other online dating app. The number of active users exceeds 60 million people. Recently, company announced a new feature involving so-called AI personalities that... --- The way audiences consume media has undergone a shift over the past decade, with streaming services now dominating the entertainment landscape. Online video streaming accounts for approximately 80% of global internet traffic, according to Cisco’s Visual Networking Index, highlighting the immense appetite for digital content. As platforms compete to deliver the most engaging, seamless, and personalized experiences, artificial intelligence is proving to be an essential tool in shaping the future of streaming. The AI market in media and entertainment is projected to reach $1. 2 billion by 2025, according to Grand View Research. This growth reflects an increasing reliance on AI to refine user engagement, optimize content delivery, and even generate new forms of media. For developers and content providers, understanding AI’s capabilities offers a competitive edge in an industry that is constantly evolving. Enhancing Personalization Recommendation algorithms have become the backbone of modern streaming services, using AI to tailor content suggestions to individual users. By analyzing viewing history, behavioral patterns, and preferences, AI ensures that platforms can predict what users are likely to watch next. This not only enhances engagement but also reduces churn, keeping subscribers invested in their platform of choice. Netflix’s sophisticated recommendation system is a prime example of AI’s impact. By continuously learning from user behavior, it refines its content suggestions, making them increasingly precise. Amazon Prime Video and Disney+ employ similar techniques, incorporating franchise preferences and real-time trends to further personalize recommendations. Streamlining Content Moderation AI is also instrumental in content moderation, helping platforms navigate... --- Artificial intelligence has steadily evolved from a concept of science fiction to a transformative force reshaping industries and everyday life. Yet, understanding the distinctions between narrow AI, general AI, and superintelligent AI is essential to grasp the potential and limitations of this technology. The Origins and Rise of AI The roots of AI trace back to the mid-20th century, when researchers began exploring ways to replicate human intelligence in machines. The notion of artificial general intelligence (AGI) emerged as a tantalizing goal: creating a machine capable of performing any intellectual task a human can do. While this vision sparked early optimism, the complexity of human cognition and limitations in computational power shifted researchers' focus toward more specialized systems. The Domain of Narrow AI Narrow AI, often called weak AI, excels at performing specific tasks with remarkable efficiency. Systems like voice assistants, image recognition software, and language models fall into this category. These technologies rely on large datasets and complex algorithms to achieve high accuracy, making them invaluable across industries like healthcare, finance, and logistics. However, narrow AI remains bound to its training parameters. It cannot generalize knowledge beyond its intended function, and unexpected scenarios can lead to incorrect results. While incredibly powerful, narrow AI lacks the adaptability and broader understanding that characterizes human intelligence. The Pursuit of General Intelligence General AI, sometimes called strong AI, represents the next frontier. Unlike narrow systems, general AI would possess the ability to learn, reason, and apply knowledge across various domains. Such systems could... --- Meet LANDR - a tool that has revolutionized the music production market by creating an all-in-one platform that combines AI mastering technology with comprehensive distribution services and collaboration tools. Image credit: LANDR Designed for independent artists, producers, and musicians, LANDR delivers professional-quality results without requiring expensive studio time or extensive technical expertise. The platform has earned the trust of Grammy Award-winning producers and over 5 million musicians worldwide, including major artists like Lady Gaga, Gwen Stefani, Snoop Dogg, and Seal. With LANDR, musicians gain access to a complete ecosystem of tools valued at over $4,000 for a fraction of the cost. AI Mastering: The Core of LANDR's Technology LANDR's flagship service centers around its proprietary AI mastering engine. Unlike competitors that rely on basic presets, LANDR's technology actively analyzes each track and creates a customized mastering chain tailored to your specific music. How LANDR's AI Mastering Works The platform's patented algorithm examines thousands of professionally mastered songs to generate intelligent processing that enhances your music while preserving its unique character. This sophisticated approach ensures your tracks sound polished and release-ready on any playback system. LANDR offers three distinct ways to access their mastering technology: Image credit: LANDR Online Mastering The web-based mastering platform allows you to upload tracks directly from your browser for instant processing. The system never uses generic presets, instead creating a unique processing chain for each song based on its sonic characteristics. LANDR Mastering Plugin For those who prefer working within their production environment, the LANDR Mastering... --- Over the past years, the awareness and applicability of artificial intelligence have significantly increased across various industries. Today, the focus is on how to best implement it in manufacturing, customer service, or, for example, marketing. It's important to note that AI development’s rapid emerge in the market and its widespread integration into processes didn't happen overnight but is the result of various factors. This article will analyse 3 possible reasons that have led to the rapid development of AI and the state of the technology we have today. What is AI? AI is a technology that enables computers and machines to mimic human behaviour, meaning they can operate in dynamic environments: understand human commands, react to actions around them, etc. In recent years, a branch of AI — generative AI — has garnered significant attention. These systems can create new and original content, such as text, images, videos, and audio tracks. There are already many examples of such technology in the market. At the same time, everyone agrees that AI development brings numerous benefits, such as: • Task automation • Real-time data analysis • Data-driven decision making • Reduced risk of human error • 24/7 operation, e. g. , with chatbots in customer service Despite these benefits, there are risks considering, which developers, providers, and users must evaluate, accept, or address. Ongoing discussions remain about intellectual property rights, how AI generates new content based on existing datasets, ethical issues regarding data protection, the growing threat of disinformation and manipulation, and... --- Surfer is one of the latest tools on the market aimed at increasing the efficiency of SEO efforts by offering a data-driven approach to content optimization. What distinguishes this platform from competitors is its ability to combine sophisticated algorithms, NLP solutions, and machine learning with user-friendly interfaces. The platform analyzes over 500 web signals to deliver real-time, competition-based guidelines that remain fully Google-compliant. At its core, Surfer transforms SEO from guesswork into a predictable growth strategy. Their proprietary Content Score metric has become the gold standard in the industry, providing users with clear benchmarks for optimization success. This approach makes advanced SEO accessible to everyone from solo content creators to enterprise-level marketing teams. Image credit: Surfer Comprehensive Tool Suite: Beyond Basic Optimization Content Editor: Real-time Optimization Engine The Content Editor serves as Surfer's flagship feature, providing real-time feedback as you write. The platform evaluates your content against top-performing competitors, offering actionable suggestions for improvement. The latest upgrade includes Auto-Optimize functionality that instantly boosts your Content Score and topical coverage by: Identifying topical gaps between your content and competitors Intelligently inserting relevant terms and missing sections Maintaining natural language flow and readability Reworking existing sections for maximum cohesion This revolutionary approach transforms content optimization from a tedious, manual process into a streamlined workflow. Traditional SEO often requires writers to constantly reference keyword lists and competitor content while writing, disrupting creative flow. Surfer's Content Editor eliminates this problem by integrating optimization guidance directly into the writing experience. Image credit: Surfer The editor's... --- For many years, Skype remained one of the first and once-dominant internet calling services that ushered in a new era of communication. Today, after many ups and downs, we know that this platform will soon become unavailable. However, this does not close the door to virtual communication — there are several alternative services on the market, along with artificial intelligence (AI) breathing down their necks. After Several Decades of Existence, Skype is Leaving The virtual communication service, which dominated from the mid-2000s, will no longer be available as of May this year. According to Microsoft, the company will shift its focus to other communication platforms and enhancing their capabilities. This was confirmed by Jeff Teper, Microsoft 365 President of Collaborative Apps and Platforms: “In order to streamline our free consumer communications offerings so we can more easily adapt to customer needs, we will be retiring Skype in May 2025 to focus on Microsoft Teams (free), our modern communications and collaboration hub. ” Users of this platform can transfer their contacts and chat data to Microsoft Teams or download stored information and switch to another preferred video calling service. Skype was launched in 2003 in Estonia and quickly became popular, especially for international calls, which were a costly alternative at the time. In 2005, eBay acquired the video call platform for $2. 6 billion, but after an unsuccessful partnership, 65% of the shares were sold. In 2011, Microsoft acquired a remote communication platform. The Era of Virtual Calls Will Continue Even... --- Affiliate Marketing in the Age of Smart Tools Affiliate marketing has long been a cornerstone of the digital economy—an approach where individuals or companies earn a commission by promoting third-party products or services. But the arrival of artificial intelligence has begun to shift how this system operates, introducing a more data-driven, automated model that appeals to both newcomers and experienced marketers alike. At its core, AI affiliate marketing applies machine learning and data analysis tools to refine how affiliates select products, target audiences, and measure campaign success. Instead of relying on guesswork or trial-and-error, marketers are now leveraging AI to identify trends, optimize content, and deliver personalized outreach at scale. For example, AI can quickly analyze large volumes of consumer data to determine what products are most likely to convert with specific audiences. It can also automate the generation of content—emails, landing pages, and even social media copy—tailored to user behavior. These capabilities reduce manual labor and boost performance metrics across the board. In practice, the process becomes more strategic: marketers spend less time on routine tasks and more on refining ideas and expanding reach. For individuals seeking to enter the affiliate space or enhance their current efforts, AI tools can offer not just convenience, but also a competitive edge. Best AI Affiliate Programs Several platforms now blend AI tools with affiliate marketing opportunities, offering comprehensive solutions for digital entrepreneurs. GetResponse stands out as a user-friendly email marketing platform with a solid affiliate program. Designed for marketers, educators, and small... --- Google's integration of AI directly into its search platform marks a turning point in how users discover information online. The introduction of AI Mode represents one of the most substantial changes to Google Search in years, which will definitely change how both user experiences the process of finding information, and how commerce deals with SEO. Google AI mode - artistic impression. Image credit: BoliviaInteligente via Unsplash, free license The Dawn of AI-Powered Search In the coming weeks, a select percentage of US users will begin seeing an AI Mode tab prominently positioned within Google Search. This limited rollout marks Google's first public deployment of this search-centric AI technology outside its experimental Labs environment. Unlike traditional search results that present a collection of website links based on user queries, AI Mode delivers AI-generated responses drawn directly from Google's extensive search index. This approach differs from the AI Overviews already available, which place an AI-generated information summary between the search box and conventional web results. Users will find this new feature in a dedicated tab positioned at the front of the Search tab lineup, preceding the familiar "All," "Images," "Videos," and "Shopping" tabs. This positioning reflects Google's strategic prioritization of this new search paradigm. Image credit: Google Google's Answer to Emerging AI Search Competitors Google's AI Mode represents the company's response to emerging large language model-powered search engines such as Perplexity and OpenAI's ChatGPT search capabilities. These specialized AI models excel at web access and real-time data retrieval compared to standard chatbots... --- In today's digital age, law enforcement agencies face a rapidly growing challenge: managing the overwhelming influx of digital evidence. With technology becoming increasingly integrated into our daily lives, police departments must adapt their methods to effectively collect, analyze, and utilize digital information in criminal investigations. In this aspect, artificial intelligence (AI) technology demonstrates the potential as a powerful solution to this growing challenge, changing and improving how law enforcement manages digital evidence and conducts investigations. Using AI tools in law enforcement - artistic impression. Image credit: Alius Noreika / AI The Digital Evidence Explosion Modern investigations are drowning in data. According to recent statistics, approximately 90% of criminal cases now involve some form of digital evidence. This evidence spans across numerous sources - from surveillance footage and bodycam recordings to social media activities and electronic communications. The sheer volume of this information presents a significant challenge for investigators who traditionally had to manually sift through hours of footage and gigabytes of data. Law enforcement professionals often find themselves juggling multiple major crime cases simultaneously, with investigators handling six to eight major cases per month on average (excluding homicide investigations). Without intelligent systems to assist in processing this information, extracting meaningful insights becomes nearly impossible, creating investigative bottlenecks and potentially missing crucial evidence. How AI Transforms Evidence Management Intelligent Indexing and Object Detection One of the most significant advantages AI brings to digital evidence management is automated indexing and object detection. Consider a scenario where investigators need to locate a suspect... --- The next revolution in advertising will likely be invisible. Microsoft has already demonstrated what generative AI is capable of in the field of digital marketing. Image credit: Microsoft In January 2025, Microsoft quietly released a minute-long advertisement for its Surface Pro and Surface Laptop. The ad showcased people using these devices in various professional scenarios—from office meetings to outdoor fieldwork. What viewers didn't realize was that many scenes in this polished commercial weren't filmed at all—they were created using generative AI. For nearly three months, the ad circulated online, gaining over 40,000 views on YouTube. Not a single viewer commented on or questioned the AI-generated content. It wasn't until April that Microsoft revealed their creative approach through a blog post, unveiling how artificial intelligence had fundamentally transformed their production process. "With a small budget and a tiny amount of time, we were able to accomplish in a month what would have traditionally required exponentially more resources," explained Visual Designer Brian Townsend. "We probably saved 90% of the time and cost it would typically take. " Image credit: Microsoft From Horse in Motion to AI Generation The history of visual storytelling has always been marked by technological breakthroughs. In 1878, photographer Eadweard Muybridge created "The Horse in Motion," considered the first film ever produced. His sequence of photographs answered a simple question: does a horse gallop with all four hooves off the ground? Since then, filmmaking has continuously reinvented itself—from silent films starring Charlie Chaplin to the groundbreaking CGI of "Jurassic... --- The computer and video game market are gradually being transformed by artificial intelligence (AI). There are already examples in the market of how AI is changing the gaming experience by creating entire virtual worlds. Now, Sony is coming with a new idea – AI characters that will elevate games to the next level. AI Trends in the Gaming Market The latest market research report, Global Artificial Intelligence (AI) Market in Games 2025-2029, emphasizes that AI is transforming the gaming market by enabling AI to create content and adapt virtual reality (VR) or augmented reality (AR). According to the Technavio report, the global AI gaming market will grow by $27. 47 billion from 2025 to 2029, or 42. 3%. According to Statista, as of January 2025, 36% of game developers worldwide claim that their studios or departments already use generative AI tools. Meanwhile, only 9% stated that they do not use AI tools but are interested in them. Sony Unveils Its Experiments with AI Characters Sony announced that it is developing at least one AI character prototype for PlayStation. A video circulated online showcasing an AI-driven version of Aloy from Horizon Forbidden West (the video was later removed from YouTube due to copyright violations). In principle, the AI version of Aloy will be able to hold a conversation with the player via voice commands during gameplay. Responses to queries will be delivered with AI-synthesized voice and facial movements, though it is noted that this is still a prototype AI character created... --- Transform your customer communication strategy with enterprise-grade voice AI that delivers human-like conversations at scale: meet Synthflow AI. Image credit: Synthflow AI How Can You Elevate Your Customer Support with Synthflow's AI Voice Agents? In today's fast-paced business environment, missed calls translate directly to missed opportunities. Synthflow AI offers a groundbreaking solution: AI voice agents that handle your phone interactions with remarkable human-like quality, ensuring you never miss another customer connection while dramatically reducing operational costs. Synthflow's platform enables businesses to deploy sophisticated AI voice agents that manage both inbound and outbound calls autonomously. These agents don't just answer questions—they conduct natural conversations, schedule appointments, qualify leads, verify accounts, and seamlessly integrate with your existing business systems. The financial impact of implementing Synthflow's AI voice agents can be transformative for businesses struggling with call center inefficiencies. Companies typically report 60-70% cost reductions compared to traditional staffing models, while simultaneously extending service availability to 24/7 coverage. This dual benefit—lower operational expenses coupled with enhanced service availability—creates a compelling ROI case even for organizations initially hesitant about AI adoption. The platform's ability to handle call surges without degraded performance means businesses can maintain service quality during peak periods without the traditional overhead of excess capacity during quieter times. Deploy Enterprise-Grade Voice AI in Weeks, Not Months Traditional AI implementation typically demands significant time investment and technical expertise. Synthflow AI breaks this barrier with a streamlined deployment process that gets your voice agents operational in just three weeks. This rapid implementation doesn't come... --- When working with AI and developing this kind of apps, having access to powerful GPU resources is essential for developing, training, and deploying AI models. Having tools to facilitate this process and make it cost-effective is a nice-to-have feature. In this regard, RunPod is a serious contender in this market segment, operating among the leading cloud platforms specifically designed for AI workloads, offering small teams and enterprises the ability to deploy full-stack AI applications without managing complex infrastructure. Image credit: RunPod What is RunPod? RunPod is a globally distributed GPU cloud platform built specifically for AI and machine learning workloads. Founded by Zhen Lu and Pardeep Singh, RunPod provides a unified cloud ecosystem for AI training, fine-tuning, and inference. The platform secured a $20M seed investment co-led by Intel Capital and Dell Technologies Capital in 2025, highlighting the industry's confidence in their mission to make AI cloud computing both accessible and affordable without compromising on features or user experience. Key Features That Set RunPod Apart Lightning-Fast Deployment One of the most frustrating aspects of cloud computing is waiting for resources to spin up. Traditional platforms can take upwards of 10 minutes to boot pods, creating significant delays in development workflows. RunPod has revolutionized this process by cutting cold-boot time down to milliseconds, allowing developers to start building within seconds of deploying their pods. For serverless deployments, RunPod's Flashboot technology enables sub-250ms cold start times, eliminating the usual wait for GPUs to warm up when usage is unpredictable. Powerful GPU Selection... --- Artificial Intelligence (AI) is increasingly proving its power not just by generating text, but by doing so through advanced, algorithm-based, and model-driven solutions. Alongside these capabilities, the U. S. -based AI startup Anthropic is stepping into the market with even more confidence, introducing its new AI model – Claude 3. 7 Sonnet. What Makes Claude 3. 7 Sonnet Special? On February 24, Anthropic unveiled its latest AI model, which is the company’s first hybrid reasoning model and, to date, the most intelligent model they have ever released. It features state-of-the-art coding technology that enhances content generation, data analysis, and planning. The model is available across all Claude plans, including Free, Pro, Team, Enterprise, Anthropic API, Amazon Bedrock, and Google Cloud’s Vertex AI. This innovation means that the model operates on two principles. First, it can provide instant responses, and second, it can expand its thinking step-by-step, making the reasoning process visible and accessible to the user. Moreover, Claude 3. 7 Sonnet has shown particularly strong improvements in programming and front-end web development. Alongside the model, a new command line tool called Claude Code was introduced, designed for agentic coding. This tool is currently available as a limited research preview and allows developers to delegate substantial engineering tasks to Claude directly from their terminal. Early testing showed that Claude leads in coding capabilities and is best-in-class when it comes to real-world programming tasks. Anthropic Adopts Advanced Reasoning Models The company claims that Claude 3. 7 Sonnet differs from other reasoning models... --- --- ## Pages Thank you for your inquiry. We will get back to you as soon as possible. --- Please, help us to shape the future of SentiSight. ai! We are giving 5 EUR of complimentary SentiSight. ai credits for everyone who fills in the survey. --- Are you looking for a powerful and user-friendly online image labeling tool? Are you spending lots of time managing large annotation projects? Do you want a tool that not just helps you to execute the labeling tasks but also speeds up your work with AI-assisted annotation functionalities? If so, SentiSight. ai is the platform for you! The SentiSight. ai platform offers extensive and powerful image recognition tools that are easy to use, allowing every user to label images, as well as train and deploy their own Image Recognition Models regardless of their understanding and knowledge of AI and deep learning. Learn how to: Annotate your images with classification labels, bounding boxes, polygons, polylines, key points and bitmap labels Roll, pitch and yaw angle labeling (new feature! )Label by image similarity (new feature! )Thumbs up/thumbs down evaluation of image labeling (new feature! )Use AI-assisted image annotation capabilitiesSpeed up bitmap labeling using smart labeling toolDownload or upload annotationsTrack labeling time and productivity of your labeling teamConfigure roles and permissions for your labeling teamFilter images with advanced filters The webinar is open to new users as well as those experienced on our platform. Throughout the webinar, we will be sharing useful tips and guidance to help you with all of your image labeling requirements. --- Image Operations via REST API An alternative to using the web platform for image management is using the SentiSight API. Currently, our API allows users to upload images, retrieve or delete uploaded images. To use the REST API you will need these details: API token (available under \"User profile\" menu tab) Project ID (available under \"User profile\" menu tab) Image name The API endpoint is: https://platform. sentisight. ai/api/image/ The required parameters together with code samples are provided below. Uploading images Set the \"X-Auth-token\" header to your API token string and set \"Content-Type\" header to \"application/octet-stream\". Set the body to your image file. Specify the following URL parameters: project ID (ID of project you want to upload your image to), image name (how your image will be named in the project), preprocess (\"true\" if you want your image to be preprocessed, otherwise \"false\"). The URL should look like this: https://platform. sentisight. ai/api/image/(project ID)/(image name)? preprocess=(\"true\" or \"false\"). Set the HTTP method to POST. no-repeat;left top;;autoImage upload examples:cURL: TOKEN=\"your_token\" PROJECT_ID=\"your_project_id\" IMAGE_PATH=\"your_image_path\" IMAGE_NAME=\"your_image_name\" PREPROCESS=\"true\" curl --location --request POST \"https://platform. sentisight. ai/api/image/$PROJECT_ID/$IMAGE_NAME? preprocess=$PREPROCESS\" \\ --header \"Content-Type: application/octet-stream\" \\ --header \"X-Auth-token: $TOKEN\" \\ --data-binary @\"$IMAGE_PATH\" Java: import java. io. BufferedReader; import java. io. DataOutputStream; import java. io. File; import java. io. IOException; import java. io. InputStreamReader; import java. net. HttpURLConnection; import java. net. URL; import java. nio. file. Files; public class App { public static void main( String args ) throws IOException { if (args. length < 5) { System. out. println(\"Usage: java -jar sample.... ---   ---   Label Images In order to train an image recognition model, we first need to have labeled images. Image labeling requires manual human work. Human labelers have to look through the images and mark particular objects that they can see in the images. After the images are labeled we can train a model to predict such information about objects inside the images without any human help. While the SentiSight. ai platform offers the ability to train your own image recognition model, you can simply use it for image labeling, too. After you are done labeling, you can download the labels as a . json file and train a machine learning model yourself. Users with paid subscriptions have the ability to share their projects with other users, manage their privileges, and track labeling time. Image labeling tool SentiSight. ai offers a powerful image labeling tool that you can use to draw bounding boxes, polygons, bitmaps, polylines, and points. It has a variety of functions and tools, such as our smart labeling tool, to ease the work of the labeler. For more information please refer to the image labeling tool\'s user guide. Classification labeling You can add classification labels to images either during their upload or using the image label panel. no-repeat;left top;;autoDuring upload, users have the ability to add classification labels to images if they are uploading individual images or a folder. After selection, users are met with a dialog in which they can write one or more comma separated labels... --- 2023 updates Update 2023-04-17 Added: A pre-trained model for background removal from images . webp format support 2022 updates Major update 2022-03-22 Added: Instance segmentation model training AI-assisted labeling for instance segmentation Pre-trained model for instance segmentation Sample bitmap labels and sample segmentation model Changed/improved: Automatic removal of small bitmaps from the results of smart labeling tool Update 2022-01-24 Added: A ruler with XY coordinates in the labeling tool Possibility to download Places Classification and OCR pre-trained models Possibility to see labeled object counts for each project in project management screen Changed/improved: Updated OCR model Improved loading speed for the sample project, and project management screen Users are allowed to train multiple models at the same time 2021 updates Update 2021-11-15 Added: Possibility to see the average time it takes to label one image for each user Possibility to duplicate a project Various minor interface enhancements Update 2021-10-04 Added: Possibility to set roll, pitch and yaw angles in labeling tool Thumbs up/Thumbs down evaluation of image labeling Sample data set and sample models for new users Possibility to label by image similarity via REST API Possibility to change classification labels via REST API Update 2021-08-23 Added: Possibility to download General classification, Object detection and NSFW classification pre-trained models Labeling by image similarity Query photo is labeled based on N most similar photos where N can be set by user Possibility to change score threshold for labels Possibility to adjust labels manually Possibility to save labeled images to your data set... --- Thank you for visiting our Website and using our web application programming interfaces (“API“). SentiSight. ai is a cloud service that belongs to and is managed by Neurotechnology company. Our web APIs or web services (“Services“) enable you to use AI in your web-enabled application, website or service.   The following terms and conditions govern all use of the Neurotechnology (“Provider“) SentiSight. ai Website and all content and Services available at or through the Website. The Website and Services are offered subject to your (“Recipient“) acceptance without modification of all of the terms and conditions contained herein and all other operating rules, policies (including, without limitation, SentiSight. ai Privacy Policy and Data Transfer Agreement) and procedures that may be published from time to time on SentiSight. ai Website by Neurotechnology (collectively, the “Agreement“).   Please read this Agreement carefully before using Services (as defined below). By using any part of the Website or using any Services, you agree to be bound by the terms and conditions of this Agreement. If you do not agree to all the terms and conditions of this Agreement, then you may not further use the Website or any Services. Accepting terms and conditions are strictly limited to following terms:  Definitions: Services. Services include such features as are set forth on Provider’s Website, as Provider may change such features from time to time, in its sole discretion. Grant of right to use Services. Provider will provide the Service to Recipient pursuant to its standard policies and procedures then in... --- Neurotechnology UAB (company code: 120441850 , address: Laisvės pr. 125A, Vilnius, Lithuania, email: sentisight@neurotechnology. com) (the Data importer) and User (the Data exporter) have agreed on the following conditions for personal data transferring, which may occur by using SentiSight. ai software products and services, and concluded this agreement (the Data Transfer Agreement) which shall form integral part of Terms of use and Privacy Policy: Personal Data Processing The Data importer acts as data processor of the Data exporter within the meaning of the General Data Protection Regulation (EU) 2016/679 of 27 April 2016 (the GDPR). The Data importer undertakes to process personal data only based on the instructions of the Data exporter, and to ensure that its employees or other authorized persons who will process personal data received from the Data exporter will be permanently bound by confidentiality agreements to warrant confidentiality of personal data received from the Data exporter. Obligations of the Data Processor If the Data importer cannot provide compliance with this Data Transfer Agreement or data protection legislation for whatever reasons, it agrees to inform promptly the Data exporter of its inability to comply, in which case the Data exporter is entitled to suspend the transfer of data to the Data importer, to prevent the latter from processing data, and/or terminate the present Data Transfer Agreement. The Data importer agrees and warrants that it has no reason to believe that the legislation applicable to it prevents it from fulfilling the instructions received from the Data exporter and... --- Company information Neurotechnology was started with the key idea of using neural networks for various applications such as biometric person identification, computer vision, robotics, and artificial intelligence. Much to our delight, we were able to endure the “neural networks winter” by using and expanding this expertise all through 2012, the year that brought explosive developments in the concept and infrastructure of deep neural networks. In turn, this allowed us to quickly take advantage of the emerging opportunities that came with the new wave of deep learning. This approach to computing has triggered an entire range of new projects in object recognition and other applications. Currently, our team comprises 100+ employees, 15% of them holding a Ph. D. , and half of the employees being involved in R&D activities. History Neurotechnology was founded in Vilnius, Lithuania in 1990. Next year we released our first fingerprint identification system for criminal investigations. Our further research endeavor resulted in the first fingerprint identification algorithm for civil uses that was made public in 1997. Also, our researchers got involved in developing a solution for recognizing faces – starting in 2002, and releasing the first product in 2004. This was followed by our algorithm for iris recognition released in 2008. In addition, we have an on-going research program on voice recognition since 2011. Once we conceived the benefits of fusing several biometric modalities, we directed our efforts towards building a multi-biometric product. It was released in 2005 under the name MegaMatcher Software Development Kit. The initial... --- SentiSight. ai is a web-based platform that can be used for image labeling and for developing AI-based image recognition applications. It has two major goals: the first is to make the image annotation task as convenient and efficient as possible, even for large projects with many people working on image labeling, and the second is to provide a smooth and user-friendly interface for training and deploying deep neural network models. The ability to perform both of these tasks on the same platform provides the advantage of being able to label images and then train and improve models in an iterative way. SentiSight. ai offers powerful features, such as: Image labeling. Our labeling tool allows adding classification labels, bounding boxes, polygons, points, polylines, and bitmaps. Bitmaps can be easily converted to polygons and vice versa. Moreover, each labeled object can have several child objects, such as key-points or attributes. The labeled images can be directly used for model training on the SentiSight. ai platform, or they can be downloaded and used for in-house model training. Smart labeling tool. This tool can be used to significantly increase the speed of bitmap labeling. The smart labeling tool allows users to select a few points in the foreground and the background and let the AI extract the labeled object. Shared labeling projects and time tracking. To make large annotation project handling easier, SentiSight. ai allows a project to be shared among multiple users so that multiple people can label images in the same project.... --- Image labeling Label Images Important terms Labeling images for classification Synchronize labels Labeling images for object detection and segmentation Complex object labeling Bounding boxes Polygons and polylines Bitmap Shared features Keypoints Rasterization RPY Converting bitmap to polygon Labeling tips Smart labeling tool Using smart selection tool AI-assisted labeling Labeling by similarity Labeling settings Video tutorials Labeling project management Project Management Project sharing & user management Project Manager Window User Permissions User Shares Limit User times Labeled object count General project management tips Uploading labels Uploading image classification labels as a . CSV Uploading all image labels as a . JSON Uploading color bitmaps as a . PNG Uploading B/W bitmaps as a . ZIP Dowloading labels Image filtering Video tutorials Image classification How it Works Uploading and Labeling images Default labels Uploading labels Training your classification model Why single-label? Training your single label classification model Why multi-label? Training your multi label classification model Analyzing the model’s performance Understanding best model Viewing predictions on Train and Validation sets Making predictions Making predictions using web-interface Predictions on uploaded images Predictions on existing images Making predictions via REST API Making predictions using an image from your computer Making predictions using an image URL Making predictions using a Base64 encoded image SentiSight. ai Swagger specification Using the model offline—setting up your own REST API server Video tutorials Object detection How it Works Uploading and Labeling images Training your object detection model The training process Analyzing the model’s performance Understanding best model Making predictions Making... --- At Neurotechnology UAB (company code: 120441850 , address: Laisvės pr. 125A, Vilnius, Lithuania, email: sentisight@neurotechnology. com) and its affiliated entities we take User privacy and personal data protection very seriously. In this Privacy Policy we set data protection standards and describe how information from User ("User") is collected, used, maintained and disclosed by SentiSight. ai Website and Services. This privacy policy applies to the sentisight. ai website ("Site") and all software products and related services offered by SentiSight. ai Website. The aim of this Privacy Policy is to provide adequate and consistent safeguards for the handling personal data of potential client's and existing clients' data within Neurotechnology and its affiliated entities in accordance with the requirements of General Data Protection Regulation (Regulation (EU) 2016/679 of 27 April 2016, "GDPR") and other applicable data protection laws. Collection and storage of personal information We may collect personally-identifying information, including the IP address and other internet server provider related information, when User: Visits the Site. Registers on the Site. Fills a form. Subscribes for a newsletter. Makes other activities connected to the Site, to SentiSight. ai software products and cloud services. We may process the following personal data provided by the User: Name and / or Company name. Email. Website address. Phone. Address. Photos. Invoice related information. User's submission of his/her personal data to the Site shall be regarded, among others, as User's explicit consent to the processing of that personal data for one or more specified purposes listed in this Privacy Policy.... --- ---