Literature DB >> 30892238

Neuromemristive Circuits for Edge Computing: A Review.

Olga Krestinskaya, Alex Pappachen James, Leon Ong Chua.   

Abstract

The volume, veracity, variability, and velocity of data produced from the ever increasing network of sensors connected to Internet pose challenges for power management, scalability, and sustainability of cloud computing infrastructure. Increasing the data processing capability of edge computing devices at lower power requirements can reduce several overheads for cloud computing solutions. This paper provides the review of neuromorphic CMOS-memristive architectures that can be integrated into edge computing devices. We discuss why the neuromorphic architectures are useful for edge devices and show the advantages, drawbacks, and open problems in the field of neuromemristive circuits for edge computing.

Year:  2019        PMID: 30892238     DOI: 10.1109/TNNLS.2019.2899262

Source DB:  PubMed          Journal:  IEEE Trans Neural Netw Learn Syst        ISSN: 2162-237X            Impact factor:   10.451


  5 in total

1.  90% yield production of polymer nano-memristor for in-memory computing.

Authors:  Bin Zhang; Weilin Chen; Jianmin Zeng; Fei Fan; Junwei Gu; Xinhui Chen; Lin Yan; Guangjun Xie; Shuzhi Liu; Qing Yan; Seung Jae Baik; Zhi-Guo Zhang; Weihua Chen; Jie Hou; Mohamed E El-Khouly; Zhang Zhang; Gang Liu; Yu Chen
Journal:  Nat Commun       Date:  2021-03-31       Impact factor: 14.919

2.  Multimodal transistors as ReLU activation functions in physical neural network classifiers.

Authors:  Isin Surekcigil Pesch; Eva Bestelink; Olivier de Sagazan; Adnan Mehonic; Radu A Sporea
Journal:  Sci Rep       Date:  2022-01-13       Impact factor: 4.379

3.  Robust Spike-Based Continual Meta-Learning Improved by Restricted Minimum Error Entropy Criterion.

Authors:  Shuangming Yang; Jiangtong Tan; Badong Chen
Journal:  Entropy (Basel)       Date:  2022-03-25       Impact factor: 2.738

4.  Generation of Multi-Lobe Chua Corsage Memristor and Its Neural Oscillation.

Authors:  Yue Liu; Hui Li; Shu-Xu Guo; Herbert Ho-Ching Iu
Journal:  Micromachines (Basel)       Date:  2022-08-17       Impact factor: 3.523

5.  Memristor Circuits for Simulating Neuron Spiking and Burst Phenomena.

Authors:  Giacomo Innocenti; Mauro Di Marco; Alberto Tesi; Mauro Forti
Journal:  Front Neurosci       Date:  2021-06-10       Impact factor: 4.677

  5 in total

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