Active Learning to Reduce Data Requirements For Defect Identification in Semiconductor Manufacturing


A new technical paper titled "Exploring Active Learning for Semiconductor Defect Segmentation" was published by researchers at Agency for Science, Technology and Research (A*STAR) in Singapore. "We identify two unique challenges when applying AL on semiconductor XRM scans: large domain shift and severe class-imbalance. To address these challenges, we propose to perform contrastive pretrainin... » read more

Manufacturing Bits: June 10


Predicting warpage in packages At the recent IEEE Electronic Components and Technology Conference (ECTC) in Las Vegas, there were several papers on ways to predict variation and warpage in IC packages. Advanced packages are prone to unwanted warpage during the process flow. The warpage challenges escalate as the packages become thinner. Warpage in turn can impact yields in IC packages. ... » read more