Speaker
Nobuo Sato
(Jefferson Lab)
Description
Reconstructing the internal quark and gluon structure of nucleons and nuclei is a central goal of the JLab 12 GeV program and the future Electron–Ion Collider. Achieving this goal is a formidable challenge that demands the integration of theory, experiment, and data science. In this talk, I will present recent progress by the JAM Collaboration toward this mission and highlight emerging opportunities enabled by advances in AI and machine learning.
Author
Nobuo Sato
(Jefferson Lab)