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.