Workshop: Workshop on Artificial Intelligence and Machine Learning for Scientific Applications
Event TypeWorkshop
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W
Session Formats
Recorded
TimeMonday, 14 November 20221:30pm - 5pm CST
LocationC144-145
DescriptionArtificial intelligence (AI) is a game-changing technology that has shown tremendous advantages and improvements in algorithms, implementation, and applications. We have seen many successful stories of applying AI to scientific applications. However, there are a number of problems remaining to be studied to enhance the usability of AI in scientific applications. Addressing the above problems will bridge the gap between AI and scientific applications and enable wider employment of AI in HPC. The purpose of this workshop is to bring together computer scientists and domain scientists from academia, government, and industry to share recent advances in the use of AI in various scientific applications, introduce new scientific application problems to the broader community, and stimulate tools and infrastructures to support the application of AI in scientific applications. The workshop will be organized as plenary talks based on peer-reviewed paper submissions accompanied by keynotes from distinguished researchers and a panel discussion.

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Presentations
1:30pm - 2:05pm CSTAI4S Featured Speaker
Presenter
2:05pm - 2:20pm CSTA Case Study on Coupling OpenFOAM with Different Machine Learning Frameworks
2:20pm - 2:35pm CSTAutomated Continual Learning of Defect Identification in Coherent Diffraction Imaging
2:35pm - 2:50pm CSTPattern-Based Autotuning of OpenMP Loops Using Graph Neural Networks
2:50pm - 3:00pm CSTDetermining HEDP Foams' Quality with Multi-View Deep Learning Classification
3:00pm - 3:30pm CSTAI4S – Afternoon Break
3:30pm - 3:45pm CSTEnsuring AI For Science Is Science: Making Randomness Portable
3:45pm - 4:00pm CSTPractical Federated Learning Infrastructure for Privacy-Preserving Scientific Computing
Author/Presenters
4:00pm - 4:10pm CSTScalable Integration of Computational Physics Simulations with Machine Learning
4:10pm - 4:20pm CSTPhySRNet: Physics Informed Super-Resolution Network for Application in Computational Solid Mechanics
4:20pm - 5:00pm CSTAI4S Panel
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