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Yann LeCun raised $1.03 billion in seed funding for AMI Labs, betting that world models — not transformers — are the path to AI that understands physical reality.
NVIDIA unveiled Ising, the world's first open-source AI models purpose-built for quantum computing — designed to run on existing GPU hardware without requiring actual quantum computers.
China has extended overseas travel restrictions to senior AI researchers at private firms including Alibaba and DeepSeek, treating top AI talent as a strategic national asset.
An OpenAI reasoning model has autonomously disproved a discrete geometry conjecture posed by Paul Erdős in 1946, with the result independently verified by external mathematicians.
Google unveiled Gemini for Science at I/O 2026, giving researchers natural-language access to model biological, chemical, and physical systems using AlphaFold and Google Scholar integration.
The Stanford HAI AI Index 2026 is the year's most rigorous benchmark of where AI actually stands. Here are the 12 findings that matter most for businesses, policymakers, and anyone making decisions about AI.
World models — AI systems that simulate physical reality rather than predict text — are emerging as the technology that could unlock robots, autonomous vehicles, and scientific simulation at scale. Nature calls 2026 a pivotal year.
Recursive Superintelligence, a 20-person London lab founded by ex-DeepMind and OpenAI researchers, raised $500M from Google GV and Nvidia at a $4B valuation — to build AI that designs, trains, and evaluates AI without human researchers in the loop.
Researchers published findings showing a neuro-symbolic AI architecture can reduce energy consumption up to 100-fold compared to standard deep learning while simultaneously improving task accuracy.