For more than 20 years in experimental particle physics and astrophysics, machine learning has been accelerating the pace of science, helping scientists tackle problems of greater and greater complexity.

In December, the Particle Physics Project Prioritization Panel released its recommendations for the future of the field. Among the top priorities was research and development toward future accelerator technology, with a specific mention of the concept of building a muon collider in the U.S.