LLNL Virtual Seminar Series Explores Data-Driven Physical Simulations

The rapidly growing fields of artificial intelligence (AI) and machine learning (ML) have become cornerstones of Lawrence Livermore National Laboratory's (LLNL) data science research activities. The Lab's scientific community regularly publishes advancements in both AI/ML applications and theory, contributing to international discourse on the possibilities of these compelling technologies. The large volume of AI/ML scientific literature can be overwhelming, so researchers sometimes organize reading groups where one person reads a paper and presents the methods and results to colleagues. For instance, the Lab has active reading groups studying ML and reinforcement learning. The Data-Driven Physical Simulation (DDPS) reading group has been meeting biweekly since October 2019.