Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...

A key element to this paradigm shift is the deployment of a distributed sensor network that can continuously monitor water ...

Predictive orchestration is replacing siloed planning models. AI-powered control towers now integrate procurement, ...

Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...

Yann LeCun is a Turing Award recipient and a top AI researcher, but he has long been a contrarian figure in the tech world. He believes that the industry’s current obsession wit ...

The headline statistic is sobering: studies and industry analyses commonly report that roughly 60–70% of large-scale digital transformation (DX) initiatives fai ...

Coordinated multi-agent AI workflows can shift industrial operations from reactive firefighting into proactive, financially ...

Expect AI welding, AI finishing, AI assembly and AI inspection to become standard features in new robotic cells - bringing ...

Let's discuss four trends that will redefine how robots create value — from smarter math and cooperative behaviors to ...

In many AI applications, being “mostly right” is acceptable. Industrial equipment is not one of them. Here, machines are governed by physics, compliance requirements, and real-world consequences.

AI could transform materials R&D. But how it does this, and how well it is adopted, is yet to be seen. Here, we take a look ...