Abstract
Important transformations in the field of industrial electronics, whether in terms of paradigms, such as blockchain and data-driven systems, or industrial wireless networks and devices, are the subject of this issue. First, Xinghuo Yu et al., in “Blockchain: What Does It Mean to Industrial Electronics?” review basic concepts, key features and technologies, and future challenges and opportunities of blockchain, analyzing the technology’s future impact on major areas of industrial electronics. Then, in “Dependency-Aware Tensor Scheduler for Industrial AI Application,” Wei Rang et al. demonstrate why it is important, at a time when deep neural networks (DNNs) in artificial intelligence applications are spreading in the industrial community, to effectively schedule GPU memory for DNN training. To this end, innovative memory management for training nonlinear DNNs is proposed.
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