Session

DescriptionArtificial intelligence (AI) is a game-changing technology that has shown tremendous advantages and improvements in algorithms, implementations, and applications. We have seen many successful stories of AI-enhanced scientific applications. Recently, advances in generative AI have revolutionized not just science but the entire society. However, there are a number of problems remaining to be studied to sustain AI in scientific applications in the long term, 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 and domain scientists from academia, government, and industry to share recent advances in the use of AI in scientific applications, introduce new scientific problems to the community, and stimulate tools and infrastructures to support AI-enhanced science. The workshop will be organized as plenary talks based on peer-reviewed paper submissions, accompanied by keynotes from distinguished researchers and a panel discussion.