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 ...

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 ...

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 ...

Photonic innovation: researchers in the US have created an optical metamaterial that can perform vector–matrix multiplication ... can be made from photonic metamaterials, which contain arrays of ...

In a new preprint paper, researchers from UC Santa Cruz show that it is possible to eliminate the most computationally expensive element of running large language models, called matrix multiplication, ...