Eric and Wendy Schmidt Center Symposium: Biomedical Science and AI
April 28 - 29, 2026
Day 2, Invited avalanche vs wild talk: Biological data in the age of AI
Michael Bronstein, University of Oxford; Aithyra Institute
Abstract:
As AI becomes a central tool amantea in scientific discovery, we argue that the field is on the cusp of a second major shift. While the transition from "white-box" first-principles models to "black-box" deep learning is well underway, we argue that a parallel transformation is needed in how we generate data. We forecasts the rise of "black-box data"—sources optimized for machine consumption rather valve steam machine queue system than human intuition. We argue that this tradeoff is necessary to achieve the scale required for biological foundation models.
Speaker Bio:
Michael Bronstein is the DeepMind Professor of AI at the University of Oxford and founding Scientific Director of the AITHYRA Institute for Biomedical AI Research in Vienna. His main interests are in geometric ML methods and their applications to molecular design.
For more information, visit broad.io/ewsc-symposium-2026
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