Innovative Practice on Wafer Test Innovations

D. Hu, H. Hashimoto, Li-Fong Tseng, Ken Chau-Cheung Cheng, Katherine Shu-Min Li, Sying-Jyan Wang, Sean Y.-S. Chen, Jwu E. Chen, Clark Liu, Andrew Yi-Ann Huang
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Abstract

Wafer test integrates innovative works from upstream, automatic test equipment (ATE); middle stream, 2.3D/2.5D; and downstream, statistical analysis of randomness on wafer pattern recognition. NXP Taiwan proposes an AI-driven yield prediction of ATE to reduce test cost during frequent modification and changes in test systems. SiPlus proposes competitive 2.3D and SiPlus eHDF to compare many metrics with 2.5D interposer technology. Powertech Technology Inc. focuses the statistical analysis of randomness on conventional spatial wafer defect patterns. This session addresses an integrated innovation along test systems in ATE in upstream, then 2.3D/SiPlus eHDF integration structure design, finally novel randomness effects on wafer defect diagnosis.
晶圆测试创新实践
晶圆测试集成了来自上游的创新工作,自动测试设备(ATE);中游:2.3D/2.5D;下游,对晶圆模式识别的随机性进行统计分析。恩智浦台湾提出人工智能驱动的ATE良率预测,以减少测试系统频繁修改和变更时的测试成本。SiPlus提出了具有竞争力的2.3 3d和SiPlus eHDF,以比较许多指标与2.5D中间体技术。Powertech Technology Inc.专注于传统空间晶圆缺陷模式的随机性统计分析。本次会议讨论了上游测试系统的集成创新,然后是2.3D/SiPlus eHDF集成结构设计,最后是晶圆缺陷诊断的新随机效应。
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