Researchers from Politecnico di Milano propose a data-driven water leak detection method that treats leaks as anomalies in ...

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

US researchers say a self-supervised machine-learning tool can identify long-term physical defects in solar assets weeks or years before conventional inspections, potentially reducing operations and ...

Doctors may soon be able to diagnose an elusive form of heart disease within seconds by using an AI model developed at ...

The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it.

Republican lawmakers decry Intel's testing of Chinese-linked tools after Reuters report Republican lawmakers accused Intel this week of threatening U.S. national security after Reuters revealed the ...

The Utah Department of Transportation (UDOT) is deploying a new sensor and artificial intelligence system at its port of ...