Embedded computing and optimized machine learning models make PdM viable in small, distributed and cost-sensitive systems.

Predictive maintenance, based on more and better sensor data from semiconductor manufacturing equipment, can reduce downtime in the fab and ultimately cut costs compared with regularly scheduled ...

REDWOOD CITY, Calif.--(BUSINESS WIRE)-- C3 AI (NYSE:AI), the Enterprise AI software company, today announced that Shell has scaled its predictive maintenance program, powered by C3 AI technology, to ...

Maintenance is a critical behind-the-scenes activity that keeps manufacturing facilities running and data centers humming. But when not performed in a timely manner, it can result in damaged products ...

Komatsu is supporting mine operations to become future-proof with data-driven maintenance systems that provide greater asset ...

The key question regarding edge artificial intelligence (AI) is no longer about its vast business potential, but about where it can be most efficient and deliver faster, measurable results. Early uses ...

Predictive maintenance, digital twins and AI-enabled process optimization are reshaping glass fiber manufacturing as major infrastructure investment expands.”Boston, Aug. 21, 2026 (GLOBE NEWSWIRE) -- ...

Scientists have developed a machine-learning model – utilizing K-Means and long short-term memory techniques – that aims to overcome ‘fault detection and classification’ in the operation and ...

An unplanned withdrawal from service, whether for a passenger train or a freight consist, carries a heavy disruption cost and ch ...

Industrial machine operators might want to take a closer look at a new service from Amazon Web Services Inc. that uses machine learning to help them schedule maintenance work on their equipment. The ...

For Marlbo Trading Company, the collaboration with FLIR represents its continued efforts to bring globally recognised ...