Machine Learning for Edge Computing

2022-07-29 Computers

Author : Amitoj Singh
Release : 2022-07-29
Genre : Computers
Kind : eBook
Book Rating : 235/5 ( reviews)

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Book Synopsis Machine Learning for Edge Computing by : Amitoj Singh

Download or read book Machine Learning for Edge Computing written by Amitoj Singh. This book was released on 2022-07-29. Available in PDF, EPUB and Kindle. Book excerpt: This book divides edge intelligence into AI for edge (intelligence-enabled edge computing) and AI on edge (artificial intelligence on edge). It focuses on providing optimal solutions to the key concerns in edge computing through effective AI technologies, and it discusses how to build AI models, i.e., model training and inference, on edge. This book provides insights into this new inter-disciplinary field of edge computing from a broader vision and perspective. The authors discuss machine learning algorithms for edge computing as well as the future needs and potential of the technology. The authors also explain the core concepts, frameworks, patterns, and research roadmap, which offer the necessary background for potential future research programs in edge intelligence. The target audience of this book includes academics, research scholars, industrial experts, scientists, and postgraduate students who are working in the field of Internet of Things (IoT) or edge computing and would like to add machine learning to enhance the capabilities of their work. This book explores the following topics: Edge computing, hardware for edge computing AI, and edge virtualization techniques Edge intelligence and deep learning applications, training, and optimization Machine learning algorithms used for edge computing Reviews AI on IoT Discusses future edge computing needs Amitoj Singh is an Associate Professor at the School of Sciences of Emerging Technologies, Jagat Guru Nanak Dev Punjab State Open University, Punjab, India. Vinay Kukreja is a Professor at the Chitkara Institute of Engineering and Technology, Chitkara University, Punjab, India. Taghi Javdani Gandomani is an Assistant Professor at Shahrekord University, Shahrekord, Iran.

Edge Computing

2021-12-22 Computers

Author : K. Anitha Kumari
Release : 2021-12-22
Genre : Computers
Kind : eBook
Book Rating : 592/5 ( reviews)

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Book Synopsis Edge Computing by : K. Anitha Kumari

Download or read book Edge Computing written by K. Anitha Kumari. This book was released on 2021-12-22. Available in PDF, EPUB and Kindle. Book excerpt: This reference text presents the state-of-the-art in edge computing, its primitives, devices and simulators, applications, and healthcare-based case studies. The text provides integration of blockchain with edge computing systems and integration of edge with Internet of Things (IoT) and cloud computing. It will facilitate readers to setup edge-based environment and work with edge analytics. It covers important topics, including cluster computing, fog computing, networking architecture, edge computing simulators, edge analytics, privacy-preserving schemes, edge computing with blockchain, autonomous vehicles, and cross-domain authentication. Aimed at senior undergraduate, graduate students and professionals in the fields of electrical engineering, electronics engineering, computer science, and information technology, this text: Discusses edge data storage security with case studies and blockchain integration with the edge computing system Covers theoretical methods with the help of applications, use cases, case studies, and examples Provides healthcare real-time case studies elaborated by utilizing the virtues of homomorphic encryption Discusses real-time interfaces, devices, and simulators in detail

Artificial Intelligence for Cloud and Edge Computing

2022-01-13 Computers

Author : Sanjay Misra
Release : 2022-01-13
Genre : Computers
Kind : eBook
Book Rating : 211/5 ( reviews)

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Book Synopsis Artificial Intelligence for Cloud and Edge Computing by : Sanjay Misra

Download or read book Artificial Intelligence for Cloud and Edge Computing written by Sanjay Misra. This book was released on 2022-01-13. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the future possibilities of AI with cloud computing and edge computing. The main goal of this book is to conduct analyses, implementation and discussion of many tools (of artificial intelligence, machine learning and deep learning and cloud computing, fog computing, and edge computing including concepts of cyber security) for understanding integration of these technologies. With this book, readers can quickly get an overview of these emerging topics and get many ideas of the future of AI with cloud, edge, and in many other areas. Topics include machine and deep learning techniques for Internet of Things based cloud systems; security, privacy and trust issues in AI based cloud and IoT based cloud systems; AI for smart data storage in cloud-based IoT; blockchain based solutions for AI based cloud and IoT based cloud systems.This book is relevent to researchers, academics, students, and professionals.

Edge AI

2020-08-31 Computers

Author : Xiaofei Wang
Release : 2020-08-31
Genre : Computers
Kind : eBook
Book Rating : 869/5 ( reviews)

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Book Synopsis Edge AI by : Xiaofei Wang

Download or read book Edge AI written by Xiaofei Wang. This book was released on 2020-08-31. Available in PDF, EPUB and Kindle. Book excerpt: As an important enabler for changing people’s lives, advances in artificial intelligence (AI)-based applications and services are on the rise, despite being hindered by efficiency and latency issues. By focusing on deep learning as the most representative technique of AI, this book provides a comprehensive overview of how AI services are being applied to the network edge near the data sources, and demonstrates how AI and edge computing can be mutually beneficial. To do so, it introduces and discusses: 1) edge intelligence and intelligent edge; and 2) their implementation methods and enabling technologies, namely AI training and inference in the customized edge computing framework. Gathering essential information previously scattered across the communication, networking, and AI areas, the book can help readers to understand the connections between key enabling technologies, e.g. a) AI applications in edge; b) AI inference in edge; c) AI training for edge; d) edge computing for AI; and e) using AI to optimize edge. After identifying these five aspects, which are essential for the fusion of edge computing and AI, it discusses current challenges and outlines future trends in achieving more pervasive and fine-grained intelligence with the aid of edge computing.

Artificial Intelligence and Machine Learning for EDGE Computing

2022-04-26 Science

Author : Rajiv Pandey
Release : 2022-04-26
Genre : Science
Kind : eBook
Book Rating : 555/5 ( reviews)

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Book Synopsis Artificial Intelligence and Machine Learning for EDGE Computing by : Rajiv Pandey

Download or read book Artificial Intelligence and Machine Learning for EDGE Computing written by Rajiv Pandey. This book was released on 2022-04-26. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and Machine Learning for Predictive and Analytical Rendering in Edge Computing focuses on the role of AI and machine learning as it impacts and works alongside Edge Computing. Sections cover the growing number of devices and applications in diversified domains of industry, including gaming, speech recognition, medical diagnostics, robotics and computer vision and how they are being driven by Big Data, Artificial Intelligence, Machine Learning and distributed computing, may it be Cloud Computing or the evolving Fog and Edge Computing paradigms. Challenges covered include remote storage and computing, bandwidth overload due to transportation of data from End nodes to Cloud leading in latency issues, security issues in transporting sensitive medical and financial information across larger gaps in points of data generation and computing, as well as design features of Edge nodes to store and run AI/ML algorithms for effective rendering. Provides a reference handbook on the evolution of distributed systems, including Cloud, Fog and Edge Computing Integrates the various Artificial Intelligence and Machine Learning techniques for effective predictions at Edge rather than Cloud or remote Data Centers Provides insight into the features and constraints in Edge Computing and storage, including hardware constraints and the technological/architectural developments that shall overcome those constraints

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