Advances in artificial intelligence and machine learning (AI/ML) algorithms are not only the fastest growing areas but also provide endless possibilities in many different science and engineering disciplines including computer communication networks. These technologies are used by billions of people. Any person who has a smartphone can tangibly experience advances in communication networks, social media, natural language processing, and computer vision that were not possible just 10 years ago. Research is therefore needed to understand and improve the potential and suitability of AI/ML in general for communications and networking technologies, but also in particular for systems and networks operations and management.

Overview of Artificial Intelligence and Machine Learning / Zincir‐heywood, Nur; Mellia, Marco; Diao, Yixin - In: Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning / Zincir-Heywood N., Mellia M. , Diao Y,. - STAMPA. - New York City : Wiley, 2021. - ISBN 9781119675501. - pp. 19-32 [10.1002/9781119675525.ch2]

Overview of Artificial Intelligence and Machine Learning

Mellia, Marco;
2021

Abstract

Advances in artificial intelligence and machine learning (AI/ML) algorithms are not only the fastest growing areas but also provide endless possibilities in many different science and engineering disciplines including computer communication networks. These technologies are used by billions of people. Any person who has a smartphone can tangibly experience advances in communication networks, social media, natural language processing, and computer vision that were not possible just 10 years ago. Research is therefore needed to understand and improve the potential and suitability of AI/ML in general for communications and networking technologies, but also in particular for systems and networks operations and management.
2021
9781119675501
9781119675525
Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2934544