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How AI/ML Improves Fab Operations


Chip shortages are forcing fabs and OSATs to maximize capacity and assess how much benefit AI and machine learning can provide. This is particularly important in light of the growth projections by market analysts. The chip manufacturing industry is expected to double in size over the next five years, and collective improvements in factories, AI databases, and tools will be essential for doub... » read more

High-Volume Manufacturing Device Overlay Process Control


By Honggoo Leea, Sangjun Hana, Jaeson Wooa, DongYoung Leea, ChangRock Songa, Hoyoung Heob, Irina Brinsterb, DongSub Choic, John C. Robinsonb aSK Hynix, 2091, Gyeongchung-daero, Bubal-eub, Icheon-si, Gyeonggi-do, 467-701, Korea bKLA-Tencor Corp., 8834 N. Capital of Texas Hwy, Austin, TX 78759 cKLA-Tencor Korea, Starplaza bldg.., 53 Metapolis-ro, Hwasung City, Gyeonggi-do, Korea Abstract ... » read more

Chip Manufacturing Data Now Requires Cloud Techniques


The parameters in semiconductor manufacturing are growing so large that an analysis method similar to what’s currently used for big data is now required. The good news is that big data analysis techniques, which process a vast amount of data such as search data and communication logs in the cloud, is entirely applicable to the data of semiconductor process. Photo 1: Opening view of AEC... » read more