Join us on Wednesday, March 26, at 4:00 PM for a special colloquium featuring Professor David Rousseau (University of Oxford, UK), who will discuss the transformative impact of Artificial Intelligence in LHC Physics.
Prof. Rousseau is a leading figure in the application of AI to Particle Physics. He has played a pivotal role in numerous initiatives—both within the ATLAS collaboration and across the broader LHC community—harnessing Machine Learning to enhance the discovery potential of LHC data. The talk will be held in Room PA1 at 4:00 PM, followed by refreshments.
Particle physics has a long history of developing sophisticated simulators, from modeling proton collisions to creating virtual detectors. Now, we’re integrating Artificial Intelligence through “Neural Simulation Based Inference,” which helps analyze complex phenomena that cannot be to computed analytically from first principles. This approach is highlighted by recent work from the ATLAS experiment at the Large Hadron Collider at CERN, which has provided new insights into quantum interference in a rare Higgs boson decay. We also touch on how biases (“known unknowns”) are modeled, as showcased in the recent Fair Universe HiggsML uncertainty challenge at NeurIPS 2024. Separately, advances in AI generative models, which allow to generate fake images, can be harnessed to emulate particle physics simulators, albeit with specific challenges which will be presented.
