Machine Learning and Optimization for Understanding Spatiotemporal Systems

Join Dr. Xinyu Chen from MIT as he delivers an insightful lecture on the application of machine learning and optimization techniques for understanding spatiotemporal systems. Throughout this 69-minute presentation at the University of Central Florida, explore advanced methodologies for analyzing and interpreting complex systems that evolve across both space and time. Learn how cutting-edge computational approaches can be leveraged to extract meaningful patterns and make predictions from spatiotemporal data, with practical applications across various scientific and engineering domains.