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

By the time Carnegie Mellon University (CMU) researcher Hans Moravec published his seminal book on robotics “Mind Children” ...

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 ...

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

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

RAIPUR: Chhattisgarh has established a robust and exemplary model of good governance in education through the effective use ...

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

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

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.

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 ...