AlphaGo at 10: How a Go-playing AI reshaped AI research
DeepMind reflects on a decade of AlphaGo's influence, from games to scientific discovery and the road to AGI.
Frontier models, research results, agents, and developer tooling.
DeepMind reflects on a decade of AlphaGo's influence, from games to scientific discovery and the road to AGI.
The project turns Claude's GPU code into teaching material for open models.
A new collaboration will test generative AI in real-world virtual care settings through a nationwide randomized study.
A TII-authored blog post proposes a dedicated evaluation set for Emirati Arabic, addressing a blind spot in Arabic NLP benchmarks.
A new Google Research initiative aims to make large language models update their beliefs probabilistically instead of committing to a single reasoning path.
Google DeepMind says its most specialized reasoning mode has been updated to tackle modern challenges in science, research and engineering.
Hugging Face's JavaScript transformers library reaches a new major version with v4 now available via NPM.
Google DeepMind's latest image model brings advanced world knowledge and production-ready specs to a faster tier.
A Hugging Face review finds that asynchronous token generation is a key design lesson across open-source reinforcement-learning libraries.
The update makes diffusion pipelines easier to customize and maintain by breaking them into modular components.
Hugging Face says the team behind llama.cpp is joining the company to help keep on-device AI moving forward.
Google Research has released WAXAL, an open resource intended to support speech technology for African languages.
Google DeepMind positions Gemini 3.1 Flash-Lite as its fastest and most cost-efficient Gemini 3 model, targeting high-scale AI workloads.
IBM and UC Berkeley introduce IT-Bench and MAST to systematically identify why enterprise agents fail.
The new LeRobot release is framed as a broad scaling update, but the announcement itself offers no concrete details on what changed.
Google DeepMind's latest model is built for problems that require deeper analysis rather than quick answers.
A new essay in The Gradient argues that AI alignment should focus on virtue-ethical practices rather than goal-directed behavior.
The move extends DeepMind's effort to apply AI to scientific discovery, now targeting India's research and education sectors.