25 September 2020
Recruiting Editors for Section “Artificial Intelligence” in Electronics

Section Editor-in-Chief: Prof. Dr. Yoichi Hayashi

The Artificial Intelligence section mainly covers topics of interest within hardware-based deep learning AI and algorithmic deep learning AI using machine learning. The purpose of this section is to bring together researchers and engineers, from both academia and industry, to present novel ideas and solid research on the hardware and algorithmic aspects of the industrial applications of deep learning-based AI.

The primary focus of this section is hardware-based deep learning AI. This section also focuses on the black-box nature of deep neural networks and shallow NNs, transparency, interpretability, and explainability of deep neural networks (DNNs) and algorithms and/or methods for the conversion of CNN into decision trees (DTs) and random forest.

Subject areas of interest include, without being limited to the following:

  1. Subsection for hardware-based deep learning AI
  2. Subsection for algorithmic deep learning AI using machine learning
  • Algorithms and/or methods for conversion of CNN into DTs and random forest
  • Explainable AI (XAI)
  • Rule extraction algorithms/methods for shallow NNs
  • Black box nature of DNNs versus the transparency of DNNs

You are welcome to join our section Editorial Board Members and contribute to this section.

For more information, please visit

If you have any questions, please contact [email protected].

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