How to Apply Machine Learning to Number Theory

Watch a 90-minute seminar presentation where Professor Kyu-Hwan Lee from the University of Connecticut explores the intersection of machine learning and number theory, sharing insights from his collaborative research with Yang-Hui He, Thomas Oliver, and others during the "Black holes: bridges between number theory and holographic quantum information" event. Learn about concrete examples demonstrating how machine learning techniques can be effectively applied to solve problems in number theory, bridging the gap between these two mathematical disciplines.