Prof. Dr. Tobias Golling
Université de Genève
T a l k : 22. May 2025
Transformative Potential of Machine Learning in High-Energy Physics
The integration of machine learning has significantly advanced the field of High-Energy Physics (HEP). This seminar offers an overview of successful applications of machine learning within HEP and explores imminent and future opportunities for further breakthroughs. By focusing on the task of object identification, we will illustrate the challenges encountered in this realm and highlight the transformative potential that machine learning holds for the future of HEP research.
