With the overwhelming interest from the UF community in using HiPerGator AI to conduct Artificial Intelligence (AI) research, Research Computing (RC) is continuing its series: Birds of a Feather (BOF) sessions. 

Recent years we have seen a tremendous increase in cases where Machine Learning (ML) models are used for scientific processing and discovery. Similarly, instances where tools and insights from the physical sciences are brought to the study of ML models. For this BOF, we will give an overview of the resources, frameworks, and tools available for Machine Learning tasks, and introduce a few examples of how to use new approaches in ML and deep learning (DL) to solving challenging open problems in physical sciences.