This is an opportunity for CAM field faculty, postdocs, and students and others working in applied mathematics to share research. Each presenter has 60 seconds to give a one-slide summary of their... Read more
Abstract: Self-assembly processes in soft condensed matter have been leading to the discovery of a variety of ordered structures. Mesoscale building blocks such as nanoparticles, colloids, or micelles... Read more
Abstract: In recent years, nonlocality has been given increasing attention in the modeling of various complex systems, especially in the presence of anomalies and singularities. The effective modeling... Read more
Abstract: When particles interact, say by attracting or repulsing, they tend to form nice distributions as the number of particles become large. Examples include both physical (electrons in a... Read more
Abstract: talk will introduce two new tools for summarizing a probability distribution more effectively than independent sampling or standard Markov chain Monte Carlo thinning: 1. Given an initial n... Read more
Abstract: Offline Reinforcement Learning (RL) is a learning paradigm where the RL agent only learns from a pre-collected static dataset and cannot further interact with the environment anymore... Read more
Abstract: Of late, much attention has been paid to the risk artificial intelligence poses to employment, particularly in low-wage industries. The question has invited well-placed concern from... Read more
