We’re just a few years into the AI revolution, but AI systems are already improving decades-old computer science algorithms. Google’s AlphaEvolve AI, its latest coding agent for algorithm discovery, ...

Researchers upend AI status quo by eliminating matrix multiplication in LLMs Running AI models without floating point matrix math could mean far less power consumption.

Learn how to simulate Markov chains using different methods, such as Monte Carlo, matrix multiplication, Gibbs sampling, and Metropolis-Hastings. Compare their pros and cons, and find out how to ...

Matrix Multiplication with Strassen Algorithm Introduction This repository contains an implementation of the Strassen algorithm for matrix multiplication in Java. The Strassen algorithm is an ...

Currently, when implementing matrix chain multiplication in Java and Python, there is no standardized library or built-in functionality specifically dedicated to efficiently solving this problem.

Video: DeepMind researchers trained an AI system called AlphaTensor to find new, faster algorithms for matrix multiplication. AlphaTensor quickly rediscovered — and surpassed, for some cases — the ...

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 ...

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.

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 ...