A Hong Kong-based Matrix AI Network is developing a prototype of a new hybrid PoS/PoW consensus algorithm. This update was shared with Cointelegraph by Owen Tao, the company’s CEO. Tao described ...

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 ...

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 ...

Abstract: A simple measurement matrix construction algorithm (MMCA) within compressive sensing framework is introduced. In compressive sensing, the smaller coherence between the measurement matrix and ...

Abstract: Aiming at the problem of weak invisible dot matrix data being interfered by the background in the process of reading, which leads to the accuracy and slow speed of the reading algorithm, and ...

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 ...

A new technique that efficiently retrieves scattered light from fluorescent sources can be used to record neuronal signals coming from deep within the brain. The technique, developed by physicists at ...

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 ...