The algorithm has interesting real-world applications. Example: 1. Image transformations in Computer Graphics as images are composed of matrix. number of variables. 4. Self-driving car navigation can ...

With Deep Reinforcement Learning, DeepMind has discovered an algorithm no human thought of. It is supposed to significantly accelerate matrix multiplication.

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 ...

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 ...

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 ...

Assume that the time complexity of the best known sequential algorithm for matrix multiplication is O (N/sup /spl alpha//), where /spl alpha/<2.3755. Let p be arbitrarily chosen in the range 1/spl les ...

The algorithm has interesting real-world applications. Example: 1. Image transformations in Computer Graphics as images are composed of matrix. 2. Solve complex polynomial equations in the field of ...