Artificial Intelligence and Machine Learning for EDGE Computing



Artificial Intelligence and Machine Learning for EDGE Computing

by Neeraj Kumar SinghParul VermaRajiv PandeySunil Kumar Khatri

  • Length: 516 pages
  • Edition: 1
  • Language: English
  • Publisher: Academic Press
  • Publication Date: 2022-05-10

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.

One thought on “Artificial Intelligence and Machine Learning for EDGE Computing”
  1. Нi there! Ӏ could һave sworn I’ve bеen to this site before bᥙt aftеr browsing through some of the post І rеаlizeɗ it’s new to me.
    Anyhow, I’m definitely hɑрpy I found it and I’ⅼl
    be book-marking and chеcking back often!

Leave a Reply

Your email address will not be published. Required fields are marked *