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13 results for "AI research"
The Novo Nordisk Foundation awarded up to €13.3 million to AI4GRIDS, a Nordic cross-border research initiative that aims to run grid computations 100 times faster than conventional solvers using AI.
OpenAI pushed 722 mathematics manuscripts to GitHub under Apache 2.0, crediting an unnamed internal frontier model — days after Anthropic's Riemann zeta announcement sparked an open AI math race.
Anthropic researchers deployed Claude over 60 specialized AI subagents to push the Riemann zeta function lower bound from 41.6% to 67.2% — the first verifiable AI contribution to one of mathematics' oldest unsolved problems.
Meta AI's Muse Spark models collaborated with human mathematicians to co-author six peer-reviewed papers, five of which solve previously open mathematics problems — among the most concrete demonstrations yet of AI contributing to original scientific discovery.
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.