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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 ...
Classic fault detection and classification has some classic problems. It’s reactive, time-consuming to set up, and any ...
AZoRobotics on MSN
Self-Adapting AI for Smart Factory Defect Detection
KAIST researchers introduce TA4LS, an AI technology that adapts to manufacturing changes, improving defect detection accuracy by up to 9.42% without retraining.
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