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 ...

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 ...

High-performance matrix multiplication remains a cornerstone of numerical computing, underpinning a wide array of applications from scientific simulations to machine learning. Researchers continually ...

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 ...

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 ...

Abstract: Coclustering algorithms are an alternative to classic one-sided clustering algorithms. Because of its ability to simultaneously cluster rows and columns of a dyadic data matrix, coclustering ...

This project implements various secure matrix multiplication algorithms using the CKKS (Cheon-Kim-Kim-Song) homomorphic encryption scheme through OpenFHE library. It includes benchmarking tools, tests ...

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 ...