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, ...

PART 3: Multidimensional arrays and the Matrix Multiplication algorithm Learn three techniques for creating multidimensional arrays in Java, then use the Matrix Multiplication algorithm to ...

High-performance matrix multiplication remains a cornerstone of numerical computing, underpinning a wide array of applications from scientific simulations to machine learning. Researchers ...

Researchers at MIT's Computer Science & Artificial Intelligence Lab (CSAIL) have open-sourced Multiply-ADDitioN-lESS (MADDNESS), an algorithm that speeds up machine learning using approximate matrix m ...

A new research paper titled “Discovering faster matrix multiplication algorithms with reinforcement learning” was published by researchers at DeepMind. “Here we report a deep reinforcement learning ...

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, DeepMind ...

Tensor for matrix multiplication and algorithms: here multiplication of 2 x 2 matrices. Entries equal to 1 are purple, 0 entries are semi-transparent.

In this way, researchers have discovered new algorithms that multiply n-by-n matrices using fewer than the standard n 3 multiplication steps for many small matrix sizes. But algorithms that outperform ...

This is a summary of: Fawzi, A. et al.Discovering faster matrix multiplication algorithms with reinforcement learning. Nature 610, 47–53 (2022).. The problem. Algorithms have been used ...