Speaker
Felix Ringer
(ODU / JLab)
Description
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)
