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A new generative AI approach to predicting chemical reactions
21 hours ago
System developed at MIT could provide realistic predictions for a wide variety of reactions, while maintaining real-world physical constraints.
Learn more →3 Questions: The pros and cons of synthetic data in AI
2 days ago
Artificially created data offer benefits from cost savings to privacy preservation, but their limitations require careful planning and evaluation, Kalyan Veeramachaneni says.
Learn more →3 Questions: On biology and medicine’s “data revolution”
2 days ago
Professor Caroline Uhler discusses her work at the Schmidt Center, thorny problems in math, and the ongoing quest to understand some of the most complex interactions in biology.
Learn more →MIT researchers develop AI tool to improve flu vaccine strain selection
7 days ago
VaxSeer uses machine learning to predict virus evolution and antigenicity, aiming to make vaccine selection more accurate and less reliant on guesswork.
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