دانلود کتاب پیشرفت‌ها در هوش مصنوعی برای برنامه‌های محاسبات ابری، لبه‌ای و موبایل

The book presents applications of advances in AI that have made inroads in almost all walks of life, and these applications in diverse areas are in great demand. The intent and content of the book will bring about a paradigm shift in the focus and complexion of not only the world of work but also the development and advancement of tools and technologies for the cause of humanity and the sustenance of human activities. These emerging technologies have made inroads in numerous applications by providing customized solutions. Such AI-powered initiatives are evolving constantly and need to go a long way in meeting the requirements of the world in terms of its outreach, agility, stability, affordability, robustness, infrastructural facilities, etc. These state-of-the-art technologies have a comparative advantage in terms of abysmally low latency, fast response, low bandwidth cost, and improved resilience. This is facilitated by data sources and IoT devices in the close neighborhood of the consumers, unlike cloud computing, wherein there is a globalized facility for data storage, analysis, and insight, while in edge computing, the IoTs are at the network edge near users. This book covers chapters that shed light and enlighten us on how we can use edge, cloud, and mobile computing as technologies of today and complement one another for extensive and widespread application areas by leveraging the promising features of advances in AI. The furtherance in IoTs, networking avenues, parallel computing, 5G, and sound infrastructure in general for machine learning has made it possible to employ edge, cloud, and mobile computing techniques in diverse areas and different walks of life.
This book sheds light on various aspects of computing in terms of trends and advances in edge, cloud, and mobile computing, integrating it with advanced AI, services, privacy and security concerns, algorithms, architectures, reliable AI-powered IoTs, advances in networking, and applications in different frontier areas.
The book is partitioned into three parts. Part I is devoted to Advanced Cloud AI services. Part II is dedicated to Advanced Edge AI services and the problems confronted during the application and execution of computing services. Part III deals with Cloud AI, Edge AI, and Mobile AI Computing Applications. Part I contains five chapters. Chapter 1 dwells upon the provision of a power trading framework of cloud-edge computing in an artificial intelligence bazaar. Chapter 2 delves into anomaly detection using artificial intelligence in a cloud-fuzzy environment. Chapter 3 sheds light on how holistic resource management based on AI and sustainable cloud computing is done. Chapter 4 deliberates on the application of Artificial Intelligence for the enhancement of privacy and security in a smart environment. Chapter 5 is aimed at discussing the application of Artificial Intelligence in Wireless Sensor Networks through Quality of Services enhancement.
Part II of the book has five chapters. Chapter 6 deals with recent advancements of Artificial Intelligence in Edge Computing. Chapter 7 foresees future innovations in using Edge Computing Infrastructure for IoT applications. Chapter 8 aims to understand the growth of Edge Computing with Artificial Intelligence. Chapter 9 gives a perspective on the role of Machine Learning in the convergence of Artificial Intelligence and Edge Computing. Chapter 10 explains the applications, enabling technologies, and vision of Edge Artificial Intelligence for 6G. Part III is embodied with five topics. Chapter 11 discusses how AI products serve the areas of E-Commerce and the commercial banking sector. Chapter 12 deliberates on how sustainable human resources are managed by using artificial intelligence. Chapter 13 discusses the achievement of sustainable development goals by integrating natural resource management and AI. Chapter 14 deliberates on the use of business models in tandem with AI for the cause of sustainable development. Chapter 15 deals with different requirements for Quality of Service using an Adaptive Network Algorithm.
This volume will set a tone for academicians and researchers who will be guided not only in advancing their knowledge but also in becoming acquainted with the advances in Cloud, Edge, and Mobile computing in congruence with advances in AI, thereby enabling the development of sound technological solutions for the betterment of humanity in a sustainable manner.