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

FAYETTEVILLE, GA, UNITED STATES, December 31, 2025 /EINPresswire.com/ — Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by ...

In 2025, EE World produced twenty-four EE Training Days webinars designed to educate engineers on practical design challenges ...

Machine learning (ML) is rapidly emerging as a powerful tool to improve the safety, reliability, and long-term performance of marine structures exposed to harsh ocean environments. This study presents ...

A magnetometer is a device that measures magnetism: the direction, strength, or relative change of a magnetic field at a ...

In power distribution systems, three-phase transformer configuration directly impacts system reliability and load management.

Eco-conscious commercial kitchens are rediscovering the power of the Charcoal wood tandoor with the growing demand for Sustainable Indian cooking equipment. At Tandoor Morni, charcoal wood tandoors ...

How do ZK-Rollups solve blockchain scalability? Learn how Zero-Knowledge Proofs (ZKPs) reduce fees, increase speed, and ...

Published in Acta Mechanica Sinica, this forward-looking study argues that embedding physical laws into AI models is ...

PCBs are the future generation of printed circuit board technology, which allows high-performance, space-saving ...

From cyberattacks to power outages, manufacturers’ assumptions about how production systems are designed, maintained, and ...

A new technical paper titled “Making Strong Error-Correcting Codes Work Effectively for HBM in AI Inference” was published by researchers at Rensselaer Polytechnic Institute, ScaleFlux and IBM T.J.