Special Section on Emerging Trends Issues and Challenges in Edge Artificial Intelligence

Abstract

__________________________________________________________________________________ Editor-in-Chief: Prof. Dr.-Ing; Ren C. Luo [email protected] http://www.ieee-ies.org/pubs/transactions-on-industrial-informatics Emerging Trends Issues and Challenges in Edge Artificial Intelligence Theme: Internet of Things (IoT) has been emerging for the mobile devices and sensors growing explosively. However, the cloud computing can’t provide real time services. Therefore, edge computing is proposed as a new paradigm for reducing latency, placing small data center at the edge of the Internet, more close to the end devices. Terms such as “edge”, “cloudlets”, and “micro data centers” have been used in the literature to refer to these small, edge-located data centers. Edge computing has the advantage of less latency, which decreases the demand on processing/storage capabilities, battery life, network bandwidth for the end devices in the IoT. The edge computing places computing/storage resources and services closer to the end users, such as placing image processing services in the edge node for preprocessing images to reduce communications through network, in this way, latency can be optimized. Moreover, the artificial intelligence (AI) is popular, which simplify all of us. Although AI is based on powerful computing, which help us diagnose on diseases, identify targets with more accuracy, and so on. With the more and more powerful of edge, the AI can be fused into edge to extend its application range. And currently, there are many applications of edge AI, such as smart camera, which can detect and track specific person, intelligent sound box, and so on. The need for edge artificial intelligence has been recognized during the last few years by our research communities. However, many challenges still remain to be addressed. This special session is intended to encourage high-quality research in edge artificial intelligence, and push the theoretical and practical bound forward for a deeper understanding in fundamental architectures, operating systems, applications, new services/toolkits, and business supports from academics and industry viewpoints. Authors from both academia and industry are invited to submit papers presenting new research related to the theory or practice of edge artificial intelligence, including algorithms, modeling, technologies and applications. The topics suggested can be discussed in terms of concepts, the state of the art, standards, implementations and evaluation, and running experiments and/or applications. IE E E T ransactions on Industrial Inform atics CALL FO R PAPERS