… , “Machine learning techniques in optical communication,” presented at the European Conf.
Exhibition Optical Communication, … of machine learning methods to optical communication …

… This machine learning-inspired … machine learning can be a complementary tool to human
analytical thinking and help advance theoretical understandings in disciplines such as optics. …

… intelligence (AI) in optical communication, the evolution from … the progress of AI in optical
communication from ML to DL. … the contributions of DL to optical communication for both the …

… of machine learning techniques in different aspects of optical communications and networking
including optical … design of optical communication systems. Recent works employing deep …

… to the emergence of Optical Communication (OC) systems… Machine Learning (ML), which
in recent years transformed to one of the most convenient ways for caring about communication …

… to determine whether an optical communication system is a … We use the short-reach to refer
to the communication system and … optical communications, in addition to broadband optical …

… researchers in optical communications with a basic background in probability theory,
communication theory and standard DSP techniques used in fiber-optic communications such as …

… Machine learning also provides a new possible solution to achieve … in optical communications.
In this article, we introduce the application of machine learning in optical communication …

… important topics related to machine learning for fiber-optic communication systems, this …
popularity of machine learning (ML) concepts in modern optical communication networks and the …

… Only lately, machine learning algorithms have been in the spotlight of the optical
communications community 40 . They are being considered for optical network monitoring and …