The HADES seminar on Tuesday, February 25th will be given by Boris Hanin in Evans 740 from 3:40 to 5 pm.

Speaker: Boris Hanin, TAMU

Abstract: Neural networks are families of functions used in state-of-the-art approaches to practical problems coming from computer vision (self-driving cars), natural language processing (Google Translate), and reinforcement learning (AlphaGo). After defining what neural networks are and sketching how they are used, I will describe a number of practically important and mathematically interesting questions that arise in trying to understand why they perform so well. These problems touch on random matrix theory, combinatorics, stochastic processes, and ergodic theory.