Joint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics ...

The development of a semiconductor system is more complex than just describing functionality in RTL. How ready are AI models ...

MIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work could inform ...

Schematic representation of the quantum machine learning-based modeling process for the Ohmic contact formation in GaN HEMTs. Credit: Advanced Science (2025). DOI: 10.1002/advs.202506213 Semiconductor ...

The experimental results demonstrated that the use of the AdaBoost algorithm from machine learning for the mobile ultrasonic stratified flow velocity measurement device was feasible and effective.

Hardware Graphics Cards AMD just gave us our first glimpse of FSR 4's 'Redstone' update, with a host of machine learning-based improvements News By Andy Edser published 21 May 2025 ...

Machine learning (ML) is ever more frequently used as a tool to aid decision making. The need to understand the decisions made by ML algorithms has sparked a renewed interest in explainable ML models.

Linux has long been the backbone of modern computing, serving as the foundation for servers, cloud infrastructures, embedded systems, and supercomputers. As artificial intelligence (AI) and machine ...

Building a PC for AI or machine learning is very different from making your own gaming machine. Here are some top tips so you won't go wrong.