Predictive maintenance and artificial intelligence are rapidly reshaping how American businesses keep equipment running, but ...

Digital condition monitoring is transforming hydropower O&M with AI-driven diagnostics, hybrid architectures, and predictive ...

This device from SwitchBot measures temperature, humidity, carbon dioxide levels and more to keep my home safe during the ...

Every day, every CNC program, every sensor reading, every tool change, every quality inspection report contributes to a ...

Non-profit arm of the de-extinction company secures an additional $50 million, expands global projects and partnerships, and releases its inaugural Impact Report detailing progress in the fight ...

This article covers some of the leading asset management strategies that help drive efficiencies across plant operations and ...

Medtech industry groups said the FDA should use existing regulatory and quality tools to monitor performance, while medical ...

Patients at Carswell medical prison in Fort Worth describe unsanitary conditions, missed treatments and substandard care.

Physics-informed Neural Networks (PINNs) have emerged as a promising approach to address some of the limitations of classical Neural Networks (NNs) in science and engineering applications. In ...

The second review examines studies that combined machine learning with RPM to predict AECOPD. We review the evidence and concepts behind RPM and machine learning and discuss the strengths, limitations ...

UK scientists have identified the best washing machine setting to maintain the freshness of your clothes for an extended period. In a study conducted in collaboration with Procter & Gamble, ...