October 31, 2023 to November 4, 2023
Europe/Athens timezone

Machine learning-based methods in quantum chromodynamics

Nov 3, 2023, 9:30 AM
Plenary talk in the main Conference Conference talks


Felix Ringer (ODU / JLab)


Machine learning and AI are rapidly growing areas of research offering various avenues for exploration in high-energy nuclear physics. Novel tools including generative modeling, regression, and classification are poised to have a significant impact on theoretical and experimental research efforts. In this talk, I will review recent progress in the context of hadron structure, spin physics, uncertainty quantification, and simulations of collider experiments.

Primary author

Felix Ringer (ODU / JLab)

Presentation materials