A team of researchers at Penn State have devised a new, streamlined approach to designing metasurfaces, a class of engineered ...

Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the ...

AI is reducing manual data work, allowing engineers to focus on system design and reliability. Real-time and cloud-based data ...

New math model controls biological noise at single-cell level, offering a path to tackle cancer relapse and drug resistance.

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...

There was a time most maintenance and EAM software operated strictly within a facility or enterprise, but the development of ...

Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...

Professionals worldwide gain standardized recognition for web development skills through assessment-based certification ...

Decades of advances in medical technology and public health are causing global populations to age. While achieving longer lives is certainly a net ...

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...