Calabi-Yau Manifolds and Machine Learning

Explore a comprehensive colloquium talk by Per Berglund from the University of New Hampshire on the intersection of Calabi-Yau manifolds and machine learning techniques. This 1-hour and 14-minute presentation from IPhT-TV delves into groundbreaking research based on multiple arXiv papers co-authored with Campbell, Jejjala, He, Heyes, Hirst, Lukas, Butbaia, Hübsch, Mishra, Peña, and Tang. Learn how advanced mathematical structures in theoretical physics can be analyzed and understood through modern computational methods, bridging complex geometry with artificial intelligence approaches to tackle fundamental questions in string theory and related fields.