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.
Artificial intelligence (AI) can put together readings from multiple sensors more effectively than classic technology, ...
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Blame the model, not the machine—better data helps 3D-printed metamaterials match predictions
Additive manufacturing, such as 3D printing, provides an excellent opportunity to design metamaterials: materials with an ...
Artificial intelligence can now generate images that are virtually indistinguishable from real ones. Researchers at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation ...
Atomic defects can tune carbon quantum dots across UV to near-infrared light, guiding cleaner design of sensors, bioimaging ...
AI company Anthropic has disabled customer access to its most capable systems after the US government ordered it to suspend all use by foreign nationals, Anthropic said in a statement Friday evening.
Carbon materials, such as carbon fibers and activated carbons, are essential across a wide variety of fields, encompassing everything from aerospace engineering to fuel cells and thermal insulation.
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