The algorithm has interesting real-world applications. Example: 1. Image transformations in Computer Graphics as images are composed of matrix. number of variables. 4. Self-driving car navigation can ...

1. Image transformations in Computer Graphics as images are composed of matrix. number of variables. 4. Self-driving car navigation can be made more accurate as matrix multiplication can accurately ...

An artificial-intelligence approach known as AlphaTensor found exact matrix-multiplication algorithms that are more efficient than those previously known for many matrix sizes.

Since Volker Strassen proposed a recursive matrix multiplication algorithm reducing the time complexity to n2.81 in 1968, many scholars have done a lot of research on this basis. In recent years, ...

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 ...

With Deep Reinforcement Learning, DeepMind has discovered an algorithm no human thought of. It is supposed to significantly accelerate matrix multiplication.

Summary form only given. We describe a novel parallel algorithm that implements a dense matrix multiplication operation with algorithmic efficiency equivalent to that of Cannon's algorithm. It is ...