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iRel40 / IP-2: Deep Learning Pipeline for Automatic Defect-Density Image Classification
M3L2 AI for Semiconductor Manufacturing / Module - Defect Classification - Lecture 2
Using AI For Fault Detection And Classification In Semiconductor Manufacturing
Wafer Surface Defects Detection Using Deep Learning
M1L1 AI for Semiconductor Manufacturing / Lecture 1: Introductions, Where AI Enters the Fab
AI-Powered Defect Image Classification
Promicron high-speed epi wafer inspection and ADC, counting and classifying defects defect map
Moving Defect Detection And Classification To The Edge
LaserSKI: Object Detection for Defect Detection in Semiconductors | William Clemens
Automated Detection and Classification of Defects in PCB Using Deep Learning Techniques
AIMS5.0 Use Case 15 | Explainable Anomaly Detection in Semiconductor Manufacturing
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Last Updated: September 29, 2026
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Summary
our presentation at the upcoming “Artificial Intelligence and Machine Learning for Manufacturing” virtual conference, ... Naoaki Kondo, Minoru Harada, Yuji Takagi At Course website: aikhan123.github.io/khan-lab-website/ai- This video provides insights into the development of a deep-learning pipeline for Increase the accuracy and efficiency of surface In collaboration, KAI and Infineon, drive sustainability in Promicron high-speed epi wafer inspection and AI & Manufacturing "LaserSKI: Object Detection for Printed Circuit Boards (PCBs) are crucial in daily electronics. In 2018, the global single-sided PCB market was projected to reach ... How can explainable AI support more efficient and reliable
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