AlphaTensor: AI system speeds up matrix multiplication with new algorithm

With AlphaTensor, DeepMind Technologies has presented an AI system that is supposed to independently find novel, efficient and provably correct algorithms for complex mathematical tasks. AlphaTensor has already identified a new algorithm with which matrix multiplications can be carried out faster than before, as the research team explains in a paper published in the magazine Nature. The team gives the factor as a ten to twenty percent acceleration compared to previous standard methods. AlphaTensor builds on AlphaZero, an AI agent that proved superior to human players in board games such as Chess, Go and Shogi. Founded by British AI researcher, neuroscientist and computer game developer Demosthenes "Demis" Hassabis, the company had already set milestones with AlphaGo and AlphaFold.