This book is devoted to the new standards, technologies, and communication systems for Artificial Intelligence of Things (AIo T) networks. Smart and intelligent communication networks have gained significant attention due to the combination of AI and Io T networks to improve human and machine interfaces and enhance data processing and services. AIo T networks involve the collection of data from several devices and sensor nodes in the environment. AI can enhance these networks to make them faster, greener, smarter, and safer. Computer vision, language processing, and speech recognition are some examples of AIo T networks.Due to a large number of devices in today’s world, efficient and intelligent data processing is essential for problem-solving and decision-making. AI multiplies the value of these networks and promotes intelligence and learning capabilities, especially in homes, offices, and cities. However, several challenges have been observed in deploying AIo T networks, such as scalability, complexity, accuracy, and robustness. In addition, these networks are integrated with cloud, 5G networks, and blockchain methods for service provision. Many different solutions have been proposed to address issues related to machine and deep learning methods, ontology-based approaches, genetic algorithms, and fuzzy-based systems.This book aims to contribute to the state of the art and present current standards, technologies, and approaches for AIo T networks. This book focuses on existing solutions in AIo T network technologies, applications, services, standards, architectures, and security provisions. This book also introduces some new architectures and models for AIo T networks.
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