This module will introduce applications of GANS and autoencoders in scientific research, and the use of NVIDIA TensorRT to optimize AI models for accelerated inference.
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.