Cambridge's Miles Cranmer on Tackling Extrapolation in AI for Science
turinginst · x · 2026-08-13
The Turing Institute shared insights from Miles Cranmer, Assistant Professor at Cambridge, on tackling the extrapolation problem in AI for Science during this year's event.
More from Research
- Anthropic's Internal Model Solves Hadamard Matrix of Order 668, Widening Research Gap — Luuigi · 2026-08-13
- DeepMind Paper: LLMs Can Derive Relativity But Cannot 'Invent' It — rohanpaul_ai · 2026-08-13
- From Math to RAG: A Structured GitHub Guide to AI Engineering — tom_doerr · 2026-08-13
- New RLVR Method Uses Parameter-Space Exploration to Stabilize LLM Training — BayesRL · 2026-08-13
- AI Agents Can Catch "Zombie Viruses": Anthropic Reveals MindVirus Spread and Mutation — 量子位 · 2026-08-13
- Manifold launches to accelerate robotics research evaluation, compressing a month of experiments into a week — ZeYanjie · 2026-08-13