Matrix inversion is a crucial concept in linear algebra that is often used to solve systems of linear equations and find the determinants of square matrices. In this article, we will discuss the ...

Abstract: On-chip optical neural networks (ONNs) have recently emerged as an attractive hardware accelerator for deep learning applications, characterized by high computing density, low latency, and ...

Photonic innovation: researchers in the US have created an optical metamaterial that can perform vector–matrix multiplication. (Courtesy: iStock/Henrik5000) A new silicon photonics platform that can ...

AlphaTensor is a system developed by DeepMind to automatically discover new, more efficient matrix multiplication algorithms using deep reinforcement learning. Matrix multiplication is essential to ...