Workshops Archive

Featured Speaker: Trillion-Parameter Foundation Models as Discovery Accelerators: Toward a Scientific Discovery Platform

Workshop: 1st International Symposium on Artificial Intelligence and Extreme-Scale Workflows

Authors: Ian Foster (University of Chicago, Argonne National Laboratory (ANL))

Abstract: Trillion-parameter, science-tuned foundation models can speed discovery, but only inside an AI-native Scientific Discovery Platform (SDP) that connects models to tools, data, HPC, and robotics. I argue for community co-development of the SDP, via open interfaces, shared schedulers, knowledge substrates, provenance, and evaluation, alongside shared models. Early results suggest that such a co-designed stack can boost throughput and reliability in materials and bio workflows, enabling human–AI teams to turn knowledge into experiments and experiments into insight.

Back to 1st International Symposium on Artificial Intelligence and Extreme-Scale Workflows Archive Listing Back to Full Workshop Archive Listing