This module will introduce applications of GANS and autoencoders in scientific research.

Day and Time: January 13, 3-5 p.m. US CT

This session is a part of the ALCF AI for Science Training Series. 

About the Speakers

Corey Adams is an assistant computer scientist at the Argonne Leadership Computing Facility.  Originally a high-energy physicist working on neutrino physics problems,  he now works on applying deep learning and machine learning techniques to science problems – and still neutrino physics – on high-performance supercomputers.  He has experience in classification, segmentation, sparse convolutional neural networks as well as running machine learning training at scale.