The saying “round pegs do not fit square holes” persists because it captures a deep engineering reality: inefficiency most ...

Neurophos is taking a crack at solving the AI industry's power efficiency problem with an optical chip that uses a composite material to do the math required in AI inferencing tasks.

New silicon designs apply AI to processing and enhancing digital audio. Cadence has new IP to simplify the work.

AMD researchers argue that, while algorithms like the Ozaki scheme merit investigation, they're still not ready for prime ...

The heat your devices produce could do the computing. A silicon structures turn waste heat into calculations, cutting energy ...

This library provides a self-contained and easy to use implementation of matrix container class. The main features include: Full template parameterization with support for both real and complex ...

While Apple and Nvidia are both huge tech companies, Apple designs its own chips for its devices like iPhones and Macs. They ...

MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat ...

They found that students assigned to teachers who used more mathematical vocabulary in their lessons made greater progress ...

Given the rapidly evolving landscape of Artificial Intelligence, one of the biggest hurdles tech leaders often come across is ...

Abstract: Matrix multiplication computation (MMC) is a fundamental operation with various applications, including linear regression, k-nearest neighbor classification and biometric identification.

Abstract: In this paper, we propose a novel construction for secure distributed matrix multiplication (SDMM) based on algebraic geometry (AG) codes, which we call the PoleGap SDMM scheme. The proposed ...