25 September 2020
Recruiting Editors for Section “Artificial Intelligence” in Electronics
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Original Submission Date Received: .
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:
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