Topic · Concept
AI for science
AI for science is the use of AI models and agents in research, from designing proteins and drug molecules to proving theorems and analyzing physics data. The claims move fast and are often made by the companies selling the models, so the useful questions are what was checked, by whom, and what still needs lab work or peer review.
- 2024 Nobel Prize in Chemistry
- Announced October 9, 2024: shared by Demis Hassabis and John Jumper (Google DeepMind) for AlphaFold, and David Baker for computational protein design
- Navier–Stokes: Clay Mathematics Institute
- September 11, 2026: CMI says the problem "has apparently been settled" and that its evaluation is "deliberately unhurried"; no prize decision announced
- Navier–Stokes: OpenAI's Lean certificates
- OpenAI's public repository holds Lean 4 certificates for its Navier–Stokes and Euler results
- KLS conjecture: Microsoft paper
- "An O(1) Bound for the KLS Constant," Zhao Song and Xinzhi Zhang; arXiv 2610.01447, v1 October 1, 2026, v2 October 4, 2026
- KLS conjecture: independent proof
- "Presenting a proof of the Kannan-Lovasz-Simonovits conjecture," Pierre Bizeul, Boaz Klartag and Joseph Lehec; arXiv 2610.05474, October 4, 2026
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