Korean researchers have developed a new analysis method capable of detecting “hidden defects” in semiconductors with a sensitivity approximately 1,000 times higher than that of existing techniques.
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 ...
Sophisticated artificial intelligence tools are being used to inspect power lines in an era of transition and climate risk. A helicopter loaded with cameras and sensors sweeps over a utility’s ...
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