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

AI-powered test automation is redefining software reliability by reducing flaky tests, expanding coverage, and accelerating ...

Researchers from Skoltech Engineering Center's Hierarchically Structured Materials Laboratory have developed a new method to ...

For advanced bonding schemes and panel operations, there is a high cost to discovering an interface issue late in the flow. Reliability improves when materials are specified as a system rather than as ...

A research team led by Professor Kanghyun Nam from the Department of Robotics and Mechanical Engineering at DGIST has ...

Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework ...

JIANGMEN, GUANGDONG, CHINA, December 31, 2025 /EINPresswire.com/ — In the modern culinary landscape, the consumer demand for cooking equipment that combines high performance with absolute safety has ...

This December, Sheryl Miles at Electronic Specifier takes a look at the top 5 power products released in December 2025.

Discover how generative AI is transforming video communication in a groundbreaking new paradigm. Learn about the innovative ...

ASTM published Standard E3499-25 for PIP testing, enabling faster mechanical property analysis in regulated manufacturing ...

Experts are increasingly turning to machine learning to predict antibiotic resistance in pathogens. With its help, resistance mechanisms can be identified based on a pathogen’s genetics. However, the ...

Fibrous materials are used extensively in many industries, including biomedicine, energy production, acoustic insulation, and ...