AI for science needs reasoning, not just data
News Source : MIT Technology Review
News Summary
- Demis Hassabis and John Jumper of Google DeepMind were awarded part of the Nobel in chemistry for their neural network AlphaFold.
- It predicts the three-dimensional structures of proteins by learning from thousands of experimentally measured shapes.
- A wave of startups building foundation models for biology, chemistry, and materials discovery raised billions of dollars, buoyed by DeepMind’s success.
- But for most open questions in science, we will need a different plan, at least in the short term.
To be sure, AI will bring extraordinary changes to science, but it has become increasingly clear that AlphaFold, and things like it, may not be the best template for that metamorphosis.
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