Collider Physics in the AI Era

by Dr Juan Rojo

Tuesday Mar 24, 2026, 12:00 PM → 2:00 PM Europe/Madrid

C7b/058 - Seminar (IFAE Main Building C7b)

In the recent years, applications of Artificial Intelligence to collider physics have revealed themselves as a game changer of our field, and this trend will only become stronger as we transition towards the HL-LHC era. In this colloquium I review recent progress in AI for LHC and future collider physics, focusing on four representative examples: i) the discovery of charm quarks in the proton (AI for regression), ii) a first determination of the LHC forward neutrino fluxes (AI for regression), iii) constraints on the Higgs self-coupling at the LHC and the FCC-ee (AI for classification), and the design of new observables with optimal sensitivity with applications to both SMEFT analyses and proton structure constraints (AI for inference).

 

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