METHOD AND SYSTEM OF DEFECT DETECTION FOR INSPECTION SAMPLE BASED ON MACHINE LEARNING MODEL

    公开(公告)号:US20250104210A1

    公开(公告)日:2025-03-27

    申请号:US18716123

    申请日:2022-11-18

    Abstract: Systems and methods for training a machine learning model for defect detection include obtaining training data including an inspection image of a fabricated integrated circuit (IC) and design layout data of the IC, and training a machine learning model using the training data. The machine learning model includes a first autoencoder and a second autoencoder. The first autoencoder includes a first encoder and a first decoder. The second autoencoder includes a second encoder and a second decoder. The second decoder is configured to obtain a first code outputted by the first encoder. The first decoder is configured to obtain a second code outputted by the second encoder.

Patent Agency Ranking