Multiplying two rectangular number arrays, known as matrix multiplication, plays a crucial role in today's AI models, including speech and image recognition, chatbots from every major vendor ...

It involves translating matrix multiplication into a different computational problem in linear algebra involving objects called tensors. The particular tensors used in this problem are ...

Take the act of multiplying matrices, or arrays of numbers. In 1812 ... Now the task of hastening the process of matrix multiplication lies at the intersection of mathematics and computer science, ...

Matrix multiplication, which involves multiplying two rectangular arrays of numbers, is often found at the heart of speech recognition, image recognition, smartphone image processing, compression ...

Matrix multiplication is a fundamental operation in machine learning, and is one of the most time-consuming, due to the extensive use of multiply-add instructions. Because GPU and TPU chips can ...

Learn More 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 ...

The new version of AlphaZero discovered a faster way to do matrix multiplication, a core problem in computing that affects thousands of everyday computer tasks. DeepMind has used its board-game ...

and machine vision applications employ algorithms that involve large matrix-matrix multiplication. But multiplying large matrices pushes the number of floating point operations and the amount of data ...