Machine learning may help predict Fragile X-associated tremor syndrome earlier, enabling planning, monitoring, and timely ...

Investment targets increased machine availability and more effective maintenance planning within scheduled shutdown windows.

A new global review shows that while machine learning, connected medical devices, and blockchain systems are individually ...

Embed technical assurance into vendor contracts, requiring evidence of performance/robustness/bias testing, transparency ...

The partnership enables Odysight.ai’s entry into France’s aerospace, defense, and government aviation sectors through a local partnerRamat Gan, ...

Learn how laser, eddy and other displacement sensors work and how they plug into IIoT PdM systems. They’re game changers on ...

In the past 18 months, the FDA has outlined clear guidelines for designing, documenting, updating, and monitoring AI-powered ...

Abstract: This paper focuses on developing an effective tool condition monitoring (TCM) system by integrating machine learning (ML) and explainable AI (XAI) techniques for high-speed machining of ...

Combining process excellence with condition-based monitoring creates a predictive maintenance system that reduces downtime and costs. Strong processes streamline work, improve safety, and ensure ...

In industrial drive technology, the motor is more than just an actuator – It can provide valuable information about the condition of the entire system as long as the user knows how to correctly ...