Seed IP Law Group LLP
Machine learning on wafer defect review
This disclosure is directed to solutions of detecting and classifying wafer defects using machine learning techniques. The solutions take only one coarse resolution digital microscope image of a target wafer, and use machine learning techniques to process the coarse SEM image to review and classify a defect on the target wafer. Because only one coarse SEM image of the wafer is needed, the defect review and classification throughput and efficiency are improved. Further, the techniques are not distractive and may be integrated with other defect detecting and classification techniques.
Taiwan Semiconductor Manufacturing Co., Ltd.
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Chung-Pin Jun-Xiu Sheng-Wen
Chou Liu Huang