A senior Lam Research executive told an industry audience this week that the next major leap in semiconductor manufacturing ...

Fleet repair costs ranked as the leading operational challenge for 80% of fleets. Motive’s new AI maintenance system turns ...

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

Mumbai Metro AI brings real-time pantograph monitoring to urban rail, helping detect equipment faults earlier, improve ...

This Collection supports and amplifies research related to SDG 9 - Industry, Innovation & Infrastructure. Data-driven predictive maintenance of electronics is an emerging research field that leverages ...

An evolution of advanced condition monitoring, predictive maintenance is likely the largest consumer of artificial intelligence (AI) in manufacturing today, Kevin Clark, head of industrial strategy at ...

Driven by increased adoption of Industry 4.0 technologies, specifically AI, manufacturers still rank predictive maintenance use cases at the top of their priority lists. Yet despite strong interest ...

Maintaining your vehicle at regular intervals can help avoid expensive repairs and keep it on the road for longer. While every vehicle has its own factory schedule, most cars hit the same big service ...

Knight-Swift Transportation has rapidly adopted AI across fleet and maintenance operations, using predictive tools to prevent up to 15 tows a month and streamline breakdown response and driver ...

Well into middle-age, I was surprised to find out that I was considered “high maintenance.” I don't see myself as needy or dramatic or critical or demanding of attention, so I asked my friends what ...

The Marine Corps released its 2026 Aviation Plan in February, and one of its major goals is taking full advantage of data and artificial intelligence to operationalize predictive maintenance. The plan ...