A Tour of Tools, Trends, and Tradeoffs in AI/ML for High Energy Physics

Colloquia
Watanabe 112
Colloquium

Speakers: Dr Shawn Dubey (Brown University) Machine Learning (ML) has advanced rapidly over the past decade, transforming the way data-intensive sciences are conducted. High energy physics is distinctive among the physical sciences in its early adoption and deployment of new AI/ML methods, driven by extreme data volumes, complex event structures, and stringent real-time constraints. In ... Read more