The research, titled AI-Driven Hybrid Deep Learning and Swarm Intelligence for Predictive Maintenance of Smart Manufacturing Robots in Industry 4.0 and published in Electronics, introduces an AI ...

In the crucial moments between injury and treatment on the battlefield, the reliability of medical equipment is paramount.At the 2025 ...

The way machines behave depends on working sites, shifts, climates and duty cycles. Predictive maintenance is precision medicine for machines. It continuously monitors "vital signs," detects ...

From scientific used oil analysis and transformer oil testing to asset reliability care services and water testing and ...

Praveen Shiveswara Sridharamurthy has spent more than two decades architecting cutting-edge solutions for oil and gas operators worldwide, helping them harness the power of operational data to improve ...

Expert insights reveal critical strategies for coordinating predictive maintenance with safety instrumented systems while maintaining compliance and preventing dangerous operational conflicts. In the ...

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Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots to scalable, physics-based intelligence across assets. Here’s how SciML can ...

In this article, MaintainX shares a collection of useful stats and insights about preventive maintenance, predictive analytics, artificial intelligence, and other trends that impact maintenance teams.

AI agents for predictive maintenance in energy infrastructure help cut downtime and boost efficiency. Discover how to design one that works. Industrial facilities typically lose between 5% and 20% of ...

Predictive Oncology ( (POAI)) has provided an update. Predictive Oncology Inc., a company involved in the field of oncology, has announced a corporate name change to Axe Compute Inc., effective ...

Stewart Brand’s “Maintenance: Of Everything, Part One” (Stripe, 308 pages, $40) begins with a drama that belies the book’s seemingly humdrum topic. The author recounts the stories of three contestants ...