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Explore the intersection of artificial intelligence and chemistry in this comprehensive talk by Pratyush Tiwary. Delve into the challenges and opportunities of integrating AI with theoretical and simulation methods in chemistry for new discoveries. Learn about innovative approaches like the Past-future Information Bottleneck, Reweighted Autoencoded Variational Bayes for Enhanced Sampling (RAVE), and Denoising Diffusion Probabilistic Models (DDPM). Discover how these techniques are applied to complex molecular systems, including protein kinases, riboswitches, and crystal polymorph nucleation. Gain insights into the potential of "Artificial Chemical Intelligence" for enabling smart molecular discovery and pushing the boundaries of computational chemistry.
