Autonomous Driving Using computing to make driving safer. Computational Sustainability Connecting Machine Learning with Global Sustainability challenges. Game Theory Game theory is the mathematical study of competitive, or co-operative optimal decision making by multiple agents. Machine Learning (ML) ML is the study of how to build computer programs that can learn to detect patterns from data. Manifold Learning Manifold learning looks at ways to automatically extract meaningful features, dimensions or subspaces from data in order to build better models, expand data, reduce data, etc. Medical Imaging Use of Machine Learning for challenges in medical imaging. Multi-Agent Reinforcement Learning MARL is the problem of learning how to make decisions from experience in the presence of multiple other decision making agents. Multi-Vehicle Communication Learning to communicate between vehicles efficiently and robustly. Reinforcement Learning RL is the study of learning decision making policies from experience with computers.
