Telit Cinterion's deviceWISE team will showcase how industrial operations are shifting from passive connectivity to active intelligence. The demonstration will feature the deviceWISE Intelligence ...

New research describes multimodal sensor fusion for AI-based fault detection in 3D printing.

In an environment defined by labor shortages, rising uptime expectations and pressure to improve overall equipment effectiveness (OEE), simple data collection is no longer enough.

Sense, a company focused on grid edge intelligence, has announced a new edge-powered Fault Detection Solution that is embedded directly into next-generation smart meters. The software gives utilities ...

A group of researchers led by the University of Sharjah in the UAE proposed to use the convolutional neural network (CNN) technique to detect temperature and shading-induced faults in PV modules. CNN ...

As electric vehicles (EVs) surge in popularity to combat climate change and reduce fossil fuel dependence, ensuring the ...

Scientists in India have proposed using a multilayer neural network to find line-to-ground, line-to-line, and bypass diode faults in PV module strings. They tested the new approach on a 22.5 kW solar ...

CAMBRIDGE, Mass., Feb. 2, 2026 /PRNewswire/ -- Sense, a leader in grid edge intelligence, today announced a new edge-powered Fault Detection Solution that is embedded directly into next-generation ...

Denso’s fault detection device for antennas adjusts carrier wave frequency, modulates the signal, and measures antenna current to detect faults. By analyzing current values, the device identifies ...

AI wildfire detection uses camera networks, thermal imaging, satellite data, and weather sensors to identify smoke, heat, and ignition risk near power lines, helping utilities reduce wildfire exposure ...