Machine Learning: Physics Simulation, Kolmogorov Complexity, and Squishy Bunnies with Daniel Holden from Ubisoft Montréal (Ubisoft La Forge).

We know Machine Learning is a powerful tool to tackle problems we can't solve by conventional means, but what about things we already have solutions for, such as physics simulations? In this talk Daniel Holden explores how Machine. Learning allows us to trade off computation time in exchange for additional memory usage, achieving around 300 to 5000 times speedup in the computation time for physics.