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What’s next for AlphaFold: A conversation with a Google DeepMind Nobel laureate
Startups and labs create models like Pearl and Boltz-2 to lower error margins below industry standards and improve drug binding predictions, enhancing drug discovery efficiency.
Summary by MIT Technology Review
3 Articles
3 Articles
What’s next for AlphaFold: A conversation with a Google DeepMind Nobel laureate – RamaOnHealthcare
“I’ll be shocked if we don’t see more and more LLM impact on science,” says John Jumper.In 2017, fresh off a PhD on theoretical chemistry, John Jumper heard rumors that Google DeepMind had moved on from building AI that played games with superhuman skill and was starting up a secret project to predict the structures [...]
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Leaning Left0Leaning Right0Center1Last UpdatedBias Distribution100% Center
Bias Distribution
- 100% of the sources are Center
100% Center
C 100%
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