[2] Machine Learning

2023年6月11日(日) 09:50 〜 10:50 Shunjyu I (Shunjyu I)

Chair:Woo Young Choi(Seoul National University)

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09:50 〜 10:10

[2-01] Data Matching Engine for Efficient Big Data Searching Systems Using a RRAM Based Novel Computing Paradigm

*Shiyue Shiyue Song^1,2, Yizhou Zhang^1,2, Jin Kang³, Kai Zheng³, Weihai Bu³, Lifeng Liu^1,2, Xiaoyan Liu^1,2, Jinfeng Kang^1,2, Peng Huang^1,2 (1. Peking Univ. (China), 2. Beijing Advanced Innovation Center for Integrated Circuits (China), 3. Semiconductor Technology Innovation Center (Beijing) Corp. (China))

10:10 〜 10:30

[2-02] A Novel Ferroelectric Tunnel FET-based Time-Domain Content Addressable Memory with High Distance-Metric Linearity and Energy Efficiency for Edge Machine Learning

*Weikai Xu¹, Jin Luo¹, Qianqian Huang¹, Ru Huang¹ (1. Peking university (China))

10:30 〜 10:50

[2-03] Machine Learning-based Accurate Single Wafer Wet Etching Amount Prediction

*Shinsei Yoshikiyo¹, Hiroshi Horiguchi², Chihiro Matsui¹, Ken Takeuchi¹ (1. Univ. of Tokyo (Japan), 2. SCREEN Semiconductor Solutions (Japan))

セッション情報

[2] Machine Learning

[2-01] Data Matching Engine for Efficient Big Data Searching Systems Using a RRAM Based Novel Computing Paradigm

[2-02] A Novel Ferroelectric Tunnel FET-based Time-Domain Content Addressable Memory with High Distance-Metric Linearity and Energy Efficiency for Edge Machine Learning

[2-03] Machine Learning-based Accurate Single Wafer Wet Etching Amount Prediction

認証