The Automated Physicist: Experimental Particle Physics in the Era of AI

My office will be recording some of the most interesting of the many talks that happen at MSU. I will post some of my favorites here on the blog. See the MSU Research channel on YouTube for more! Audio for this video isn't great, but we are making improvements in our process / workflow for capturing these presentations.

In this video, high energy physicist Harrison B. Prosper (Florida State University) discusses the history of AI/ML, Deep Learning, and applications to LHC physics and beyond.

The Automated Physicist: Experimental Particle Physics in the Age of AI

Abstract: After a broad brush review of the history of machine learning (ML), followed by a brief introduction to the state-of-the-art, I discuss the goals of researchers at the Large Hadron Collider and how machine learning is being used to help reach those goals. Inspired by recent breakthroughs in artificial intelligence (AI), such as Google's AlphaGoZero, I end with speculative ideas about how the exponentially improving ML/AI technology may, or may not, be helpful in particle physics research over the next few decades.