Speaker
François Charton
Description
Training AI models on instances of hard problems can provide insights on the underlying phenomenon. I will present two examples from theoretical physics and pure mathematics: learning the bootstrapped amplitude symbols of the 3-gluon form factor, in planar N=4 supersymmetric Yang Mills, and learning interesting properties of the Collatz sequence.