Machine learning is increasingly reshaping industrial condition monitoring, offering manufacturers earlier insights into equipment performance and helping reduce costly downtime.

To use this evidence, investigators typically must grow the larvae until adulthood in a laboratory setting and then identify ...

CHANGZHOU, JIANGSU, CHINA, March 20, 2026 /EINPresswire.com/ -- In the rapidly evolving landscape of human-machine ...

The AI factory revolution has arrived, but it looks different than the passive analytics of the past decade. The industry is ...

Viavi expanded its line of fiber monitoring solutions with the launch of its next-generation Fiber Test Head for Distributed Acoustic Sensing (FTH-DAS) platform.

Developers of physical AI such as field and inspection robots need to consider cyber and data security, explains ANYbotics' ...

A senior design engineer explains how engineering advancements are improving gearbox performance. Insights include how precision machining, improved materials and smarter ...

The FTH-DAS is a true-phase DAS interrogator with embedded AI and machine learning (ML) engine. Designed for the network edge ...

Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...

Sport Dynamics Lab uses Flexdynamic testing, digital models and AI to compare designs, materials and systems, enabling ...

MaintainX reports AI can enhance maintenance efficiency through real-time assistance, predictive analysis, and knowledge capture, transforming operations.