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 ...
Uncover the latest and most impactful research in Automated Weld Defect Detection Using Deep Learning. Explore pioneering discoveries, insightful ideas and new methods from leading researchers in the ...
Net, a hybrid deep learning architecture that sets a new benchmark for segmenting cracks, erosion, and delamination in drone ...
MSAA, a lightweight AI system that uses adaptive attention and sonar imaging to detect defects in flooded underground ...
At Fruit Attraction 2026, TOMRA Food will present its blueberry optical grader designed for one of the fastest-growing segments in the horticultural industry. "From infeed through to discharge, the ...
A new technical paper titled “A Universal AI-Powered Segmentation Model for PCBA and Semiconductor” was published by researchers at Nordson Corporation. “This paper introduces a novel universal deep ...
Longitudinal (top) and axial (middle) images of X-Ray CT data of parts with 6 internal defects: a spherical clog, a stellated shaped clog, a cone shaped void, a blob shaped void, an elliptical warp of ...
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, ...
What if manufacturing companies could pinpoint the exact cause of a defect the moment it occurs, preventing costly production delays and ensuring top-notch quality? Generative artificial intelligence ...
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