A new technical paper titled “Semi-Supervised Learning with Wafer-Specific Augmentations for Wafer Defect Classification” was published by researchers at Korea University. “Semi-supervised learning ...
Semiconductor wafers serve as the foundational substrate for microelectronic devices, yet their production is prone to a variety of surface and subsurface defects that compromise yield and reliability ...
Advanced machine learning is beginning to make inroads into yield enhancement methodology as fabs and equipment makers seek to identify defectivity patterns in wafer images with greater accuracy and ...
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