Description:

AI is an essential tool to maximize the discovery potential of the upcoming flood of data from the next generation of high energy particle physics experiments. The field is moving beyond existing paradigms to explore density estimation techniques that offer exciting new capabilities. Unsupervised learning enables anomaly detection to search for unexpected signs of new physics. Generative learning provides faster, higher quality simulations to match increasing data volumes and precision requirements. These and other AI algorithms, when deployed on coprocessors such as GPUs and neuromorphic chips, accelerate data processing far beyond conventional computing. Current results and future prospects will be discussed.

Kevin Pedro, Scientist, Fermilab

Host: Mayda Velasco