TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

According to Greg Brockman (@gdb), recent advancements in AI are heavily powered by optimized matrix multiplications (matmuls), which serve as the computational foundation for deep learning models and ...

Matscape is a powerful, feature-rich matrix calculator for Android that transforms complex matrix calculations into simple, intuitive operations. Work with multiple matrices (A-Z), perform advanced ...

According to DeepLearning.AI, Google researchers have developed AlphaEvolve, an innovative AI agent that leverages Gemini 2.0 Flash and Pro models to autonomously run, assess, and iteratively edit ...

COMPLEX MATRIX LLP is a Limited Liability Partnership (LLP) governed by the LLP Act, 2008. Registered under the Registrar of Companies RoC-Bangalore, it operates as a non-government entity. According ...

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

The purpose of this repository is to get the matrix sum of a series of executions of multiple matrix multiplication operations in parallel.

Abstract: Beyond the high-profile artificial intelligence and machine learning ($\mathrm{AI} / \mathrm{ML}$) workloads, the demand for high-performance matrix operations on standard and complex ...

A new technical paper titled “Scalable MatMul-free Language Modeling” was published by UC Santa Cruz, Soochow University, UC Davis, and LuxiTech. “Matrix multiplication (MatMul) typically dominates ...

Researchers claim to have developed a new way to run AI language models more efficiently by eliminating matrix multiplication from the process. This fundamentally redesigns neural network operations ...