Advances in Low Power Neuromorphic Computing: Models, Algorithms, and Applications

Special Issue Editors


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Guest Editor
Adaptive Systems Laboratory, University of Aizu, Aizuwakamatsu 965-8580, Japan
Interests: three-dimensional integrated circuits; networks-on-chip; reliability; neuromorphic computing; computer architecture
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Guest Editor
Infineon Technologies AG, Am Campeon 1-15, 85579 Neubiberg, Germany
Interests: design space exploration; design automation; multiobjective optimization; multicriteria decision aiding

Special Issue Information

Dear Colleagues,

Neuromorphic Computing (NC) lies at the intersection of neuroscience and artificial intelligence, where the aim is to provide cutting-edge computational capabilities inspired by the human brain, within the realm of modern technology. In certain applications such as edge or IoT devices, low-power NC is needed to achieve required lightweight computation targets, communication complexity, as well as green power/energy with satisfactory accuracy and quality in terms of algorithm, architecture, integrated circuit, system, standard, and application levels. This Special Issue aims to explore novel opportunities for the low-power processing of sensory data for cognitive applications using neuromorphic computing. The topics of interest include, but are not limited to, the following:

  • Neuromorphic computing for edge and IoT devices;
  • Optimization for neuromorphic computing;
  • Low-power solution for neuromorphic computing;
  • Applications for neuromorphic computing;
  • Architecture for neuromorphic computing;
  • Communication for neuromorphic computing;
  • Memory technology for neuromorphic computing;
  • Emerging topics of neuromorphic computing: photonics, three-dimensional circuits, in/near-memory computing.

Dr. Khanh N. Dang
Dr. Nguyen Anh Vu Doan
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Low Power Electronics and Applications is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • neuromorphic computing
  • low power
  • neural network
  • artificial intelligence
  • architecture

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