Advancements in Image Processing: The integration of AI, machine learning (ML), and deep learning (DL) has revolutionized image processing and analysis, enabling high-resolution, non-destructive imaging for failure analysis (FA) in electronics and semiconductors. AI-Powered Image Segmentation: AI-driven segmentation techniques improve the precision and scalability of defect detection, addressing challenges posed by complex and high-dimensional image datasets. Future of FA with AI and Data Management: The adoption of cloud-based training, multimodal pipelines, and robust data management systems is paving the way for automated, efficient, and predictive failure analysis workflows.
Source: Artificial Intelligence in Multimodal Microscopy Workflows for Failure Analysis | ZEISS