Artificial intelligence and machine learning for EDGE computing

"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 indust...

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Detalles Bibliográficos
Otros Autores: Pandey, Rajiv, 1966- editor (editor), Khatri, Sunil Kumar, editor, Singh, Neeraj Kumar, editor, Verma, Parul, editor
Formato: Libro electrónico
Idioma:Inglés
Publicado: London, United Kingdom ; San Diego, California : Elsevier [2022]
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009835438506719
Descripción
Sumario:"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."--
Notas:Includes index.
Descripción Física:1 online resource (516 pages)
Bibliografía:Includes bibliographical references and index.
ISBN:9780128240557