To make accurate predictions and reliably complete desired tasks, most artificial intelligence (AI) systems need to rapidly ...

Researchers have developed an optical computing system that performs feature extraction for quantitative trading with ...

Many modern artificial intelligence (AI) applications, such as surgical robotics and real-time financial trading, depend on ...

Researchers at Tsinghua University developed the Optical Feature Extraction Engine (OFE2), an optical engine that processes ...

All eyes are on the chip maker as it prepares a full-court press into a new process technology, spearheaded by chips for ...

Abstract: Machine Learning and AI approaches have stretched traditional hardware to its limits. In-hardware computing is a novel approach that aims to run Matrix-Vector Multiplication operations ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Implementations of matrix multiplication via diffusion and reactions, thus eliminating ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...