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 ...

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.

Relying solely on end-of-line testing isn't enough when security, traceability, and mission reliability are vital.

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

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

LifeTracer is not a universal life detector. Rather, it provides a foundation for interpreting complex organic mixtures. The Bennu findings remind us that life-friendly chemistry may be widespread ...

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

Purdue’s PDID benchmark tests deepfake tools on real social media content, showing why false-acceptance rates matter for ...

A classified final version of the Pentagon inspector general’s report into Secretary of Defense Pete Hegseth’s use of Signal to discuss sensitive military operations has been delivered to the House ...

Deep underground in southern China, there is a 20,000-ton tank of liquid that can detect neutrinos. Named JUNO, the detector's first results are in — and they're very promising. When you purchase ...