Matrix multiplication advancement could lead to faster, more efficient AI models At the heart of AI, matrix math has just seen its biggest boost "in more than a decade.” ...

DeepMind breaks 50-year math record using AI; new record falls a week later AlphaTensor discovers better algorithms for matrix math, inspiring another improvement from afar.

In the context of matrix multiplication, «blocks» refer to smaller segments into which a large matrix is divided for easier processing, and «block labeling» — is a technique for categorizing these ...

AlphaTensor: AI system speeds up matrix multiplication with new algorithm With Deep Reinforcement Learning, DeepMind has discovered an algorithm no human thought of. It is supposed to ...

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.

What do encrypted messages, recognizing speech commands and running simulations to predict the weather have in common? They all rely on matrix multiplication for accurate calculations. DeepMind, an ...

The matrix multiplication infix operator (*) produces a new matrix by performing matrix multiplication. The first matrix must have the same number of columns as the second matrix has rows. The new ...