There has been remarkable progress in turning our qualitative preference for simple models of the natural world into quantitative, mathematical principles. We explore these developments, both as general principles and in examples from biological systems and deep neural networks.
Sponsored by the Initiative for the Theoretical Sciences, and by the CUNY doctoral programs in Physics and Biology. Supported in part by the Center for the Physics of Biological Function, a joint effort of The Graduate Center and Princeton University. For more information please visit https://itsatcuny.org and https://biophysics.princeton.edu.