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H.B. Keller Colloquium

Monday, February 26, 2024
4:00pm to 5:00pm
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Annenberg 105
The Synergy between Machine Learning and the Natural Sciences
Max Welling, Distinguished Scientist at MSR AI4Science & Research Chair, Department of Machine Learning, University of Amsterdam,

Traditionally machine learning has been heavily influenced by neuroscience (hence the name artificial neural networks) and physics (e.g. MCMC, Belief Propagation, and Diffusion based Generative AI). We have recently witnessed that the flow of information has also reversed, with new tools developed in the ML community impacting physics, chemistry and biology. Examples include faster Density Functional Theory, Force-Field accelerated MD simulations, PDE Neural Surrogate models, generating druglike molecules, and many more. In this talk I will review the exciting opportunities for further cross fertilization between these fields, ranging from faster (classical) DFT calculations and enhanced transition path sampling to traveling waves in artificial neural networks and Neural Quantum Error Correction codes. 

For more information, please contact Narin Seraydarian by phone at (626) 395-6580 or by email at [email protected].