Opportunities in AI/ML for Particle Physics

Artificial Intelligence and Machine Learning (AI/ML) are rapidly advancing fields that have had a substantial impact on how we conduct particle physics research. We explore this impact with particle physics by presenting recent examples of its use. This talk presents examples of its integration into detector readout, Particle reconstruction, collision analysis, and rare-event identification. We further discuss how AI/ML is changing the way we perform searches for new physics, leading to new classes of analyses and novel search strategies. We further discuss the limitations of AI/ML, and how common strategies that integrate both AI/ML approaches with core physics knowledge can lead to better physical models of particle collisions that ultimately. advance both fields. Finally, we present a forward-looking vision for the use of AI/ML in particle physics and outline a path towards it.