With AlphaTensor, DeepMind Technologies has presented an AI system that is supposed to independently find novel, efficient and provably correct algorithms for complex mathematical tasks. AlphaTensor ...

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 ...

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 ...

AlphaTensor, builds upon AlphaZero, an agent that has shown superhuman performance on board games, like chess, Go and shogi, and this work shows the journey of AlphaZero from playing games to tackling ...

This repository explores the performance and implementation of various matrix multiplication algorithms. The primary goal was to benchmark a range of algorithms, from the classic textbook method to ...

This project provides a low-level implementation of the Matrix Multiplication algorithm in MIPS Assembly Language. The program is designed to run on MIPS simulators (such as MARS or SPIM) and ...