An In-Memory-Computing Charge-Domain Ternary CNN Classifier

Article Properties
  • Publication Date
    2023/05/01
  • Indian UGC (journal)
  • Refrences
    24
  • Xiangxing Yang Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA ORCID (unauthenticated)
  • Keren Zhu Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA ORCID (unauthenticated)
  • Xiyuan Tang Institute for Artificial Intelligence and the School of Integrated Circuit, Peking University, Beijing, China ORCID (unauthenticated)
  • Meizhi Wang Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA
  • Mingtao Zhan Department of Electronic Engineering, Tsinghua University, Beijing, China
  • Nanshu Lu Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA
  • Jaydeep P. Kulkarni Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA ORCID (unauthenticated)
  • David Z. Pan Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA ORCID (unauthenticated)
  • Yongpan Liu Department of Electronic Engineering, Tsinghua University, Beijing, China ORCID (unauthenticated)
  • Nan Sun Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA
Journal Categories
Technology
Chemical technology
Technology
Electrical engineering
Electronics
Nuclear engineering
Electric apparatus and materials
Electric circuits
Electric networks
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Technology
Engineering (General)
Civil engineering (General)
Refrences
Title Journal Journal Categories Citations Publication Date
Quantized neural networks: Training neural networks with low precision weights and activations 2017
ImageNet classification with deep convolutional neural networks
Confounding tradeoffs for neural network quantization 2021
Towards accurate binary convolutional neural network 2017
Cardiologist-level arrhythmia detection with convolutional neural networks 2017