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 ...

Since 1987, numerical improvements in matrix multiplication have been “small and … extremely difficult to obtain,” said François Le Gall, a computer scientist at Nagoya University. Now, three ...

The algorithm is able to re-discover older matrix multiplication algorithms and improve upon its own to discover newer and faster algorithms. “AlphaTensor is the first AI system for discovering novel, ...

Tensor for matrix multiplication and algorithms: here multiplication of 2 x 2 matrices. ... also describes matrix multiplication as a fundamental operation for computer science applications.

Matrix multiplication is used for processing smartphone images, understanding speech commands, generating computer graphics for computer games, data compression and more.

These applications based on matrix multiplication show the great potential and opportunities in photonic accelerator. In a new review published in Light Science & Application, ...

In many simulation applications, the solving of the sparse matrix-vector multiplication (SpMV) is critical for high performing computing. A sparse matrix contains a high percentage of zero’s, (as ...