Presentation

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Trust, but Verify in HPC: Uncertainty for AI and Computing

DescriptionThis panel will discuss the role of uncertainty in HPC from the perspective of predictive simulation and data-driven modeling, with a focus on future scientific workloads and interpretable AI for science. Why is treatment of uncertainty a necessity for robust prediction? What are the particular challenges and opportunities for probabilistic methods in ModSim at exascale? How can uncertainty quantification be a scaffold for scientific AI/ML, and what are the pitfalls? This discussion will lay the foundation for future work in HPC co-design at the interface of theory, software, and hardware optimization as we prepare for new paradigms of predictive modeling and simulation in the era of AI.

Moderators