AlphaTensor and Its Implications for AI, Reinforcement Learning, and Science - DataScienceCentral.com

Last week Deepmind announced AlphaTensor, a mathematics package that follows AlphaFold and continues the tradition of using AI to expand the horizons of science. In this case, the problem is matrix multiplication, known to most people from their high school days. The issue is not just the actual multiplication but the fastest method to perform the multiplication. The speeding up of matrix multiplication calculations has a high impact because matrix multiplication is a part of many applications – especially in deep learning and image processing. AlphaTensor models matrix multiplication problems as games and trains the AlphaTensor agent using reinforcement learning.