TIME: 3:30 PM

LOCATION: GMCS 314

SPEAKER: Wahid Bhimji, Lawrence Berkeley National Laboratory, Data and Analytics Group

ABSTRACT: AI and Machine Learning are changing society. This is also true in science where these techniques have promise to change how things are done: making science is more productive and yields new discoveries. In this talk we will review some recent developments in applying Machine Learning to Science, particularly in US Department of Energy (DoE) science areas such as Earth Science, High Energy Particle Physics and Materials. This deep learning revolution has been enabled by improvements in computing, and further advancements will mean increasing computational demands. So this talk will also describe developments in Deep Learning at Supercomputing Scale including tools, techniques and hardware, particularly those deployed at NERSC, the production supercomputing center for the DoE Office of Science.

BIO: Wahid is Group Lead for the Data and AI Services Group at NERSC, Berkeley Lab. He has led several machine learning projects across science disciplines and oversees all aspects of AI for NERSC, as well as other initiatives more broadly within Berkeley Lab and the Department of Energy. Wahid has worked for many years in Scientific Computing and Data Analysis in Academia and the U.K. Government and has a Ph.D. in High-Energy Particle Physics.

HOST: Sustainable Horizons Institute