An Analog Neural Network Computing Engine Using CMOS-Compatible Charge-Trap-Transistor (CTT)-Reference-Cited by-同舟云学术

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An Analog Neural Network Computing Engine Using CMOS-Compatible Charge-Trap-Transistor (CTT)

Published:2019-10 Issue:10 Volume:38 Page:1811-1819
ISSN:0278-0070
Container-title:IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
language:
Short-container-title:IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

Author:

Du Yuan^ORCID,Du Li^ORCID,Gu Xuefeng^ORCID,Du Jieqiong^ORCID,Wang X. Shawn,Hu Boyu^ORCID,Jiang Mingzhe^ORCID,Chen Xiaoliang^ORCID,Iyer Subramanian S.,Chang Mau-Chung Frank^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/43/8844133/08418745.pdf?arnumber=8418745

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1. Unraveling the Dynamics of HfO₂-Based NW-CTT as an Artificial Synapse;IEEE Transactions on Electron Devices;2024-08

2. In-memory computing: characteristics, spintronics, and neural network applications insights;Multiscale and Multidisciplinary Modeling, Experiments and Design;2024-07-09

3. A Charge-Trap-Transistor-Based Fully Analog Machine Learning Inference Engine for Audio Keyword Spotting;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19

4. Memristor‐Based Neuromorphic Chips;Advanced Materials;2024-01-02

5. Thermodynamic AI and the Fluctuation Frontier;2023 IEEE International Conference on Rebooting Computing (ICRC);2023-12-05

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