A new study explores deep learning for image-based defect detection during 3D printing, looking to catch bad builds.
Materials scientists at Rice University have developed a new workflow methodology for measuring microscopic defects in ...
Researchers developed a daylight electroluminescence imaging method that enables detection of low-energy glass cracks in PV ...
By focusing on six characteristics, the study claims you could reach "near-perfect accuracy" at detecting AI deepfakes.
Carbon quantum dots (CQDs) are tiny carbon-based nanomaterials that have attracted increasing attention as environmentally ...
Atomic defects can tune carbon quantum dots across UV to near-infrared light, guiding cleaner design of sensors, bioimaging ...
The FDA cleared EchoNext, the first artificial intelligence tool to detect structural heart disease before symptoms present.
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