Workshop on Artificial Intelligence and Machine Learning for Scientific Applications
Session Chairs
Event TypeWorkshop
W
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.
Workshop Website
Workshop Website
Archive
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Presentations
| 1:30pm - 2:05pm CST | AI4S Featured Speaker Presenter | |
| 2:05pm - 2:20pm CST | A Case Study on Coupling OpenFOAM with Different Machine Learning Frameworks | |
| 2:20pm - 2:35pm CST | Automated Continual Learning of Defect Identification in Coherent Diffraction Imaging | |
| 2:35pm - 2:50pm CST | Pattern-Based Autotuning of OpenMP Loops Using Graph Neural Networks | |
| 2:50pm - 3:00pm CST | Determining HEDP Foams' Quality with Multi-View Deep Learning Classification | |
| 3:00pm - 3:30pm CST | AI4S – Afternoon Break | |
| 3:30pm - 3:45pm CST | Ensuring AI For Science Is Science: Making Randomness Portable | |
| 3:45pm - 4:00pm CST | Practical Federated Learning Infrastructure for Privacy-Preserving Scientific Computing | |
| 4:00pm - 4:10pm CST | Scalable Integration of Computational Physics Simulations with Machine Learning | |
| 4:10pm - 4:20pm CST | PhySRNet: Physics Informed Super-Resolution Network for Application in Computational Solid Mechanics Presenter | |
| 4:20pm - 5:00pm CST | AI4S Panel |