AI Research8 min reading time

AI for science needs reasoning, not just data – Eric Schmidt and Suhas Mahesh

MIT Technology Review
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AlphaFold's success in predicting protein structures using AI and extensive data has sparked optimism for AI-driven scientific breakthroughs. However, replicating such success in other fields is challenging due to the rarity of large, curated datasets like the Protein Data Bank. Future scientific acceleration may rely more on AI agents than solely on data-driven models.

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