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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Yes, you can access Artificial Intelligence and Machine Learning for EDGE Computing by Rajiv Pandey,Sunil Kumar Khatri,Neeraj Kumar Singh,Parul Verma in PDF and/or ePUB format, as well as other popular books in Biowissenschaften & Biotechnologie. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Academic Press

Year

2022

ISBN

9780128240557

Topic

Biowissenschaften

Subtopic

Biotechnologie

Cover
Title page
Table of Contents
Copyright
Contributors
Preface
Part I: AI and machine learning
Part II: Data science and predictive analysis
Part III: Edge computing
Index