Deep learning has revolutionised surface defect detection by enabling automated, high-precision inspection across diverse industrial settings. Convolutional neural networks (CNNs) form the backbone of ...
WALTHAM, Mass.--(BUSINESS WIRE)--GelSight, a pioneer in tactile intelligence technology, today announced the release of its GelSight Mobile™ 3.5 software package, with new automated functionality and ...
Onto has received multiple orders in support of high bandwidth memory (HBM), advanced logic and a variety of specialty segments WILMINGTON, Mass.--(BUSINESS WIRE)--Onto Innovation Inc. (NYSE: ONTO) ...
Materials scientists at Rice University have developed a new workflow methodology for measuring microscopic defects in diamond and other advanced semiconductor materials. By making it easier to spot ...
A new study explores deep learning for image-based defect detection during 3D printing, looking to catch bad builds.
A study published in Molecules and led by researchers from the Changchun Institute of Optics, Fine Mechanics and Physics (CIOMP) of the Chinese Academy of Sciences demonstrated how deep learning can ...
Detecting sub-5nm defects creates huge challenges for chipmakers, challenges that have a direct impact on yield, reliability, and profitability. In addition to being smaller and harder to detect, ...
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