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 ...
AI systems rarely fail for one reason; they fail when real-world conditions introduce complexity that teams did not fully ...
Atomic defects can tune carbon quantum dots across UV to near-infrared light, guiding cleaner design of sensors, bioimaging ...
Researchers have developed a new LiDAR approach that makes it possible to image small objects with much greater precision and ...
The accounts payable and accounts receivable functions (AP/AR) have long been targeted for fraud, but widely accessible artificial intelligence (AI) is making business scams more convincing, more ...
In next-generation silicon, AI can interpret system behavior at scale, but only if observability is designed into the fabric ...
Every echocardiogram is a moving story. For a baby born with a complex heart condition, the gray and black images on the ultrasound screen can influence some of the earliest and most important ...
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