FAIR (Findable, Accessible, Interoperable and Reusable) AI models

Ben Blaiszik, Argonne National Laboratory/UChicago
Ryan Chard, Argonne National Laboratory/UChicago
Aristana Scourtas, Argonne National Laboratory/UChicago
KJ Schmidt, Argonne National Laboratory/UChicago
Logan Ward, Argonne National Laboratory/UChicago
Nikil Ravi, University of Illinois at Urbana-Champaign/Argonne
Webinar Beginner

CT

Online
Host Eliu Huerta and Venkat Vishwanath, Argonne National Laboratory
Event Sponsor ALCF AI for Science Training Series
FAIR AI Models

Trainees will learn how to leverage modern computing environments and advanced scientific data infrastructure (DLHub, funcX and ThetaGPU) to create FAIR AI models.

Day and Time: February 27, 3-5 p.m. US CT

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