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31.4 A 65nm 1Mb Nonvolatile Computing-in-Memory ReRAM Macro with Sub-16ns Multiply-and-Accumulate for Binary DNN AI Edge Processors

Overview of attention for article published in this source, February 2018
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Title
31.4 A 65nm 1Mb Nonvolatile Computing-in-Memory ReRAM Macro with Sub-16ns Multiply-and-Accumulate for Binary DNN AI Edge Processors
Published by
Institute of Electrical and Electronics Engineers (IEEE), February 2018
DOI 10.1109/isscc.2018.8310400
Authors

Wei-Hao Chen, Kai-Xiang Li, Wei-Yu Lin, Kuo-Hsiang Hsu, Pin-Yi Li, Cheng-Han Yang, Cheng-Xin Xue, En-Yu Yang, Yen-Kai Chen, Yun-Sheng Chang, Tzu-Hsiang Hsu, Ya-Chin King, Chorng-Jung Lin, Ren-Shuo Liu, Chih-Cheng Hsieh, Kea-Tiong Tang, Meng-Fan Chang

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Country Count As %
Unknown 132 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 29%
Student > Master 19 14%
Student > Bachelor 11 8%
Researcher 6 5%
Student > Doctoral Student 5 4%
Other 6 5%
Unknown 47 36%
Readers by discipline Count As %
Engineering 63 48%
Computer Science 13 10%
Materials Science 3 2%
Economics, Econometrics and Finance 2 2%
Environmental Science 1 <1%
Other 2 2%
Unknown 48 36%