Artificial Intelligence and Machine Learning for EDGE Computing

The focus of this text is on the use of Artificial Intelligence and Machine Learning for Predictive and Analytical Rendering in Edge Computing, which covers the growing number of devices and applications in various industries, driven by Big Data, AI, ML, and distributed computing. Challenges include remote storage and computing, bandwidth overload, security issues, and design features of Edge nodes.

Format: Paperback / softback
Length: 232 pages
Publication date: 01 April 2022
Publisher: Elsevier Science Publishing Co Inc

Artificial Intelligence and Machine Learning for Predictive and Analytical Rendering in Edge Computing delves into the profound impact of artificial intelligence (AI) and machine learning (ML) on the realm of edge computing. This comprehensive text explores how these cutting-edge technologies are revolutionizing the way we process and analyze data, enabling real-time, intelligent decision-making at the edge of networks.

The increasing proliferation of devices and applications across diverse industries, such as gaming, speech recognition, medical diagnostics, robotics, and computer vision, is driven by the powerful combination of big data, AI, ML, and distributed computing. This includes the emerging concepts of cloud computing and the evolving fog and edge computing paradigms.

Within this text, we address a range of challenges that arise in the context of edge computing. These challenges include the need for efficient remote storage and computing capabilities, the challenges associated with bandwidth overload due to the transportation of data from end nodes to cloud servers, the critical security considerations involved in transmitting sensitive medical and financial information across large gaps in data generation and computing points, and the design considerations for edge nodes to effectively store and execute AI/ML algorithms for optimal rendering.

By leveraging the power of AI and ML, edge computing enables faster, more accurate, and data-driven decision-making, enhancing the performance and efficiency of various applications and systems. This text serves as a valuable resource for researchers, practitioners, and professionals seeking to stay at the forefront of this rapidly evolving field.

Dimension: 235 x 191 (mm)
ISBN-13: 9780128240540