Guest Editorial: Special Issue on AI-Enabled Internet of Dependable and Controllable Things

Abstract

AI/machine learning has demonstrated significant success in transforming massive and complex data sets into highly accurate knowledge as outcomes, greatly facilitating analysis, intelligence, decision making, and automation across a number of diverse systems. Through integration with advances in data processing, computing, and networking technologies, AI/machine learning is capable of providing a viable means for carrying out big modeling and intelligence and has achieved significant success in a number of fields. However, in order to achieve an AI-enabled Internet of Dependable and Controllable Things, AI/machine learning in Internet-of-Things (IoT) systems must overcome significant challenges and exceptional requirements for connectivity, latency, scalability, accessibility, security, and resiliency that IoT systems pose. Thus, the seamless integration of AI/machine learning into IoT systems creates tremendous opportunities for new research and necessitates interdisciplinary efforts to address these challenges.