Welcome to the nlp-2.1-matrix-decomposition repository! This project provides a collection of algorithms for matrix decomposition, a fundamental concept in linear algebra. Whether you're working on ...

Abstract: In cloud computing, preserving the privacy of sensitive data poses security challenges. Homomorphic encryption offers a viable solution by enabling computations on encrypted data. Among ...

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 ...

There was an error while loading. Please reload this page. Rank Calculation: Computes the rank of a matrix via manual Gaussian elimination and row reduction with ...

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 ...

Abstract: Dynamic matrix control algorithm is a predictive control algorithm based on step response of the object, suitable for complex control systems and the process whose mathematical model is ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Can artificial intelligence (AI) create its ...

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 ...