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 ...

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 ...

In 2026, AIoT evolves into a decentralized ecosystem where edge intelligence and agentic AI replace cloud-centric models, ...

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.

These developments suggest AI’s impact on materials R&D is as much organisational as it is technical, shifting labs toward ...

Trends such as industry-specific AI and a new data economy will affect physical AI in 2026, says a Universal Robots executive ...

A multichannel strategy can lift revenue and reduce risk, but only when the right systems keep operations from slipping into ...