#AI for Science
4 related articles
Why Hasn't AlphaFold Truly Solved the Protein Folding Problem?
Google DeepMind's Pushmeet Kohli and Biohub's Sal Candido discuss AlphaFold's limits: structure prediction isn't folding understanding, the Bitter Lesson has boundaries in biology, and AI needs cross-scale modeling and experimental data loops.
From Semiconductors to Superconductors: Periodic Labs Uses AI to Accelerate Materials Discovery
Periodic Labs' Liam Fedus and Ekin Dogus Cubuk discuss using AI to accelerate materials discovery, from semiconductors to superconductors, Forward Deployed Engineering, and the platformization trend in AI for Science.
Can an AI Agent Rediscover Blaschke Curve Invariants? A Mathematical Rediscovery Experiment
New arXiv paper tests whether an AI agent can rediscover Blaschke curve invariants blind. It achieves near-machine-precision fit, but traditional polynomial methods replicate the result too.
The AI Arms Race in Biosecurity: How Radical Numerics Is Reimagining Biology with AI
Radical Numerics CEO Eric Nguyen frames biosecurity as an AI arms race. Explore how biological chain-of-thought reasoning and multimodal perception are reshaping synthetic biology.