Title: Solving Hard Problems to Change the World
Title: Scalable and Safe Learning-based Decision-Making in Dynamical Systems
Title: Interpretable Learning in Physical Systems
Title: Automatic Discovery: From Cognitive Robotics to Particle Physics
Shirley Ho (Flatiron), Hod Lipson (Columbia), Li Na (Harvard), Jihui Yang (Washington), Guillermo Miranda (Boeing), Louis Terminello (PNNL), Nathan Baker (PNNL)
 
Title: Recent Directions in Nonconvexity: Methods, Landscapes and Learning Architectures
Title: Optimal Sensors for Empowering AI
Title: Graph-Based Geometric Data Analysis
Title: Leveraging Machine Learning to Discover Network-based Models and Bespoke Observers for Nonlinear Dynamics
Title: Introducing our Colleagues in Hawaii: Updates and Open Challenges
Nathan Kutz (Washington), Krithika Manohar (Washington), Frankie Zhu (Hawaii), Floris van Breugel (Nevada), Katie Banner (Montana State), Jodi Mead (Boise State)