Machine Learning in the Optimization and Discovery Loop

Explore a cutting-edge colloquium talk on machine learning's role in optimization and discovery, presented by Andreas Krause as part of the EWSC-MIT EECS Joint Colloquium Series. Delve into how advanced machine learning techniques are driving novel insights in biomedical research and simultaneously spurring foundational advances in AI. Gain valuable perspectives on the intersection of machine learning and biomedical science, showcasing how these fields mutually benefit and evolve. Understand the potential impact of this interdisciplinary approach on addressing pressing biomedical questions and advancing AI capabilities. Discover the latest developments in this exciting field through this hour-long presentation, hosted by the Eric and Wendy Schmidt Center at the Broad Institute of MIT and Harvard in collaboration with AI+D within MIT's Department of Electrical Engineering and Computer Science.

EWSC: Machine Learning in the Optimization and Discovery Loop, Andreas Krause