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Universality Phenomena in Machine Learning, and Their Applications

Gerald D. Fischbach Auditorium 160 5th Avenue, New York, NY, United States

A canonical task in machine learning is to fit a model to a dataset. Sanjeev Arora will describe models fitted to real-life datasets, which display randomlike properties that can offer insights into the algorithms used for the task.

Imaging Life at High Spatiotemporal Resolution

Gerald D. Fischbach Auditorium 160 5th Avenue, New York, NY, United States

In this lecture, Eric Betzig will describe advanced optical tools being developed to help scientists delve deeper into the complexity of biological systems.

Conference on Shocks and Particle Acceleration in Novae and Supernovae

Image credit: NASA's Goddard Space Flight Center / S. Wiessinger Thursday, June 23 — Friday, June 24, 2016 Simons Foundation Gerald D. Fischbach Auditorium 160 Fifth Avenue New York, New York Saturday, June 25, 2016 Columbia University Pupin Hall 538 W. 120th Street New York, New York On June 23 and 24, 2016, about 60...


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