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SUANPAN: Scalable Photonic Linear Vector Machine

Photonics is promising to handle extensive vector multiplications in AI applications. Scientists in China have promoted a programmable and reconfigurable photonic linear vector machine named SUANPAN, ...

From ‘Optical Synapses’ to a ‘Photonic Brain’ — Integrated Photonic Neural Networks Toward Low-Power General-Purpose

SHANNON, CLARE, IRELAND, February 5, 2026 /EINPresswire.com/ -- A new publication from Opto-Electronic Technology; DOI ...
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MIT designs computing component that uses waste heat as a form of information

Proof of concept uses passive components to redirect heat across a chip, allowing temperature patterns to be used for data ...
IEEE

Bi-Linearity of Back Gated Schottky Barrier Transistors on an Industrial 22nm FDSOI Platform for Efficient In-Hardware Matrix-Vector Multiplication and Addition

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 ...
IEEE

An Efficient Implementation of Small-Precision Floating-point Matrix Multiplication for AI-Based Image Processing Applications

Abstract: The Multiply and Accumulator (MAC) in Convolution Neural Network (CNN) for image applications demands an efficient matrix multiplier. This study presents an area- and power-efficient ...