DeepMind unveils first AI to discover faster matrix multiplication algorithms

Learn how your company can create applications to automate tasks and generate further efficiencies through low-code/no-code tools on November 9 at the virtual Low-Code/No-Code Summit. Can artificial intelligence (AI) create its own algorithms to speed up matrix multiplication, one of machine learning's most fundamental tasks? Today, in a paper published in Nature, DeepMind unveiled AlphaTensor, the "first artificial intelligence system for discovering novel, efficient and provably correct algorithms." The Google-owned lab said the research "sheds light" on a 50-year-old open question in mathematics about finding the fastest way to multiply two matrices. Ever since the Strassen algorithm was published in 1969, computer science has been on a quest to surpass its speed of multiplying two matrices.