AI/ML+Physics Part 3: Designing an Architecture

This video discusses the third stage of the machine learning process: (3) choosing an architecture with which to represent the model. This is one of the most exciting stages, including all of the new architectures, such as UNets, ResNets, SINDy, PINNs, Operator networks, and many more. There are opportunities to incorporate physics into this stage of the process, such as incorporating known symmetries through custom equivariant layers.

SLB acknowledges support from the National Science Foundation AI Institute in Dynamic Systems and from The Boeing Company.