The discovery of matrix multiplication algorithms has far-reaching implications, as matrix multiplication sits at the core of many computational tasks, such as matrix inversion, computing the ...

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

In this video, we delve into the fascinating world of big number multiplication and explore how computers perform this task ...

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, ...

Those algorithms run up to 20% faster than existing matrix multiplication methods, according to the Alphabet unit.

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 ...

ディープマインド社が考案した深層強化学習法を用いた行列乗算アルゴリズムの自動発見について報告するAlhussein Fawziたちの論文が、今週、 Nature に掲載される。この深層強化学習法では、現在最もよく知られているアルゴリズムだけでなく、人間やコンピューターが設計した従来の ...