An artificial neural network chip based on two-dimensional semiconductor

被引:1
|
作者
Shunli Ma [1 ]
Tianxiang Wu [1 ]
Xinyu Chen [1 ]
Yin Wang [1 ]
Hongwei Tang [1 ]
Yuting Yao [1 ]
Yan Wang [1 ]
Ziyang Zhu [2 ]
Jianan Deng [2 ]
Jing Wan [2 ]
Ye Lu [2 ]
Zhengzong Sun [1 ]
Zihan Xu [3 ]
Antoine Riaud [1 ]
Chenjian Wu [4 ]
David Wei Zhang [1 ]
Yang Chai [5 ]
Peng Zhou [1 ]
Junyan Ren [1 ]
Wenzhong Bao [1 ]
机构
[1] State Key Laboratory of ASIC and System, School of Microelectronics, Fudan University
[2] State Key Laboratory of ASIC and System, School of Information Science and Technology, Fudan University
[3] Shenzhen Sixcarbon Technology
[4] School of Electronic and Information Engineering, Soochow University
[5] Department of Applied Physics, The Hong Kong Polytechnic University
基金
上海市自然科学基金; 中国国家自然科学基金;
关键词
D O I
暂无
中图分类号
TP183 [人工神经网络与计算]; TN40 [一般性问题];
学科分类号
080903 ; 081104 ; 0812 ; 0835 ; 1401 ; 1405 ;
摘要
Recently,research on two-dimensional (2D) semiconductors has begun to translate from the fundamental investigation into rudimentary functional circuits.In this work,we unveil the first functional MoS2artificial neural network (ANN) chip,including multiply-and-accumulate (MAC),memory and activation function circuits.Such MoS2ANN chip is realized through fabricating 818 field-effect transistors (FETs) on a wafer-scale and high-homogeneity MoS2film,with a gate-last process to realize top gate structured FETs.A 62-level simulation program with integrated circuit emphasis (SPICE) model is utilized to design and optimize our analog ANN circuits.To demonstrate a practical application,a tactile digit sensing recognition was demonstrated based on our ANN circuits.After training,the digit recognition rate exceeds 97%.Our work not only demonstrates the protentional of 2D semiconductors in wafer-scale integrated circuits,but also paves the way for its future application in AI computation.
引用
收藏
页码:270 / 277
页数:8
相关论文
共 50 条
  • [21] Bifurcation in a two-dimensional neural network model with delay
    Wei, JJ
    Zhang, CR
    Li, XL
    APPLIED MATHEMATICS AND MECHANICS-ENGLISH EDITION, 2005, 26 (02) : 210 - 217
  • [22] BIFURCATION IN A TWO-DIMENSIONAL NEURAL NETWORK MODEL WITH DELAY
    WEI Jun-jie ~1
    2.Key Laboratory of Forestry Plant Ecology of Ministry of Education
    3.Department of Basic Science and Art
    AppliedMathematicsandMechanics(EnglishEdition), 2005, (02) : 210 - 217
  • [23] Convolutional Neural Network Based Symbol Detector for Two-Dimensional Magnetic Recording
    Shen, Jinlu
    Belzer, Benjamin J.
    Sivakumar, Krishnamoorthy
    Chan, Kheong Sann
    James, Ashish
    2020 IEEE 31ST MAGNETIC RECORDING CONFERENCE (TMRC), 2020,
  • [24] Fire Detection based on a Two-Dimensional Convolutional Neural Network and Temporal Analysis
    de Venancio, Pedro Vinicius A. B.
    Rezende, Tamires M.
    Lisboa, Adriano C.
    Barbosa, Adriano V.
    2021 IEEE LATIN AMERICAN CONFERENCE ON COMPUTATIONAL INTELLIGENCE (LA-CCI), 2021,
  • [25] Convolutional Neural Network Based Symbol Detector for Two-Dimensional Magnetic Recording
    Shen, Jinlu
    Belzer, Benjamin J.
    Sivakumar, Krishnamoorthy
    Chan, Kheong Sann
    James, Ashish
    IEEE TRANSACTIONS ON MAGNETICS, 2021, 57 (03)
  • [26] Two-dimensional PCA combined with PCA for neural network based image registration
    Xu, Anbang
    Jin, Xin
    Guo, Ping
    ADVANCES IN NATURAL COMPUTATION, PT 2, 2006, 4222 : 696 - 705
  • [27] A neural network system for two-dimensional feature recognition
    Chen, YH
    Lee, HM
    INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 1998, 11 (02) : 111 - 117
  • [28] Convolution Neural Network Based on Two-Dimensional Spectrum for Hyperspectral Image Classification
    Gao, Hongmin
    Lin, Shuo
    Yang, Yao
    Li, Chenming
    Yang, Mingxiang
    JOURNAL OF SENSORS, 2018, 2018
  • [29] Bifurcation in two-dimensional neural network model with delay
    Wei Jun-jie
    Zhang Chun-rui
    Li Xiu-ling
    Applied Mathematics and Mechanics, 2005, 26 (2) : 210 - 217
  • [30] Two-dimensional defocusing correction using artificial neural nets
    de Solorzano, GO
    Gonzalez, V
    Santos, A
    del Pozo, F
    THREE-DIMENSIONAL AND MULTIDIMENSIONAL MICROSCOPY: IMAGE ACQUISITION AND PROCESSING V, PROCEEDINGS OF, 1998, 3261 : 127 - 138