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Turning Gaming Data into the Fuel for AI: This Web3 Startup Is Creating a New Data Market for LLMs

Every day, millions of gamers around the world generate vast amounts of data—each click, decision, and interaction representing a unique piece of human behavior and cognition.

Blockchain 7month
iAgent Secures $3M, Launches $AGNT, and will Introduce a New ERC-** Standard for AI Agents

The artificial intelligence landscape is evolving. Traditional AI models remain centralized, relying on static text data and corporate control. iAgent is introducing a decentralized AI framework where AI agents are trained,

Blockchain 8month
People are using Google's new AI model to remove watermarks from images

People appear to be using Google's new Gemini model to remove watermarks from images, according to reports on social media.

Traderflix +9 Gpt Review 2025: Revolutionizing Crypto Trading with AI

Introducing the Traderflix +9 Gpt - a revolutionary cryptocurrency trading platform crafted to elevate traders of all skill levels towards higher returns. Powered by state-of-the-art artificial intelligence and advanced algorithms,

Blockchain 8month
MWC 2025: What Is It Like to Wear AI-Powered Smart Glasses?

The TCL RayNeo X3 Pro smart glasses add 2,500-nit displays and AI-based features to supercharge their functionality. I put them on and tested them out at Mobile World Congress.

Glance and Google Cloud Partner to Bring AI-Powered Experiences to Smartphone Lock Screens

Through this partnership, Glance will tap into Google Cloud's AI solutions, including Gemini's intelligence capabilities and Imagen's advanced image generation technology via Vertex AI.

How to use Adobe Firefly AI tools on your Android phone

Since Adobe Firefly isn't an app or software in the traditional sense of other Adobe tools, there's nothing you need to download. This also means that anyone with access to the internet and an updated browser can use Adobe Firefly. The Firefly web app from Android is responsive and well-designed.

Deep learning model boosts plasma predictions in nuclear fusion by 1,000 times

A research team, led by Professor Jimin Lee and Professor Eisung Yoon in the Department of Nuclear Engineering at UNIST, has unveiled a deep learning-based approach that significantly accelerates the computation of a nonlinear Fokker-Planck-Landau (FPL) collision operator for fusion plasma.

Deep Learning 8month