Researchers can then break this tensor up into a sum of elementary components, called “rank-1” tensors; each of these will represent a different step in the corresponding matrix multiplication ...

Algorithms have been used throughout the world’s civilizations to perform fundamental operations for thousands of years. However, discovering algorithms is highly challenging. Matrix ...

the player attempts to modify the tensor and zero out its entries. When the player manages to do so, this results in a provably correct matrix multiplication algorithm for any pair of matrices ...

Matrix multiplication is used for processing smartphone ... “The game is about basically zeroing out the tensor, with some allowed moves that are actually representing some algorithmic ...

Google DeepMind's AlphaEvolve AI system breaks a 56-year-old mathematical record by discovering a more efficient matrix ...

In their new proof, Alman and Vassilevska Williams reduce the friction between the two problems and show that it’s possible to “buy” more matrix multiplication than previously realized for solving a ...

Matrix multiplication provides a series of fast multiply and add operations in parallel, and it is built into the hardware of GPUs and AI processing cores (see Tensor core). See compute-in-memory.

This could eventually accelerate AI models like ChatGPT, which rely heavily on matrix multiplication to function. The findings, presented in two recent papers, have led to what is reported to be ...

A tensor is a mathematical object that describes ... and all of them today support something called a GEMM (General Matrix Multiplication). This is a 'fused' operation, where two matrices are ...