The Samek, Wojciech creator Stanczak, Slawomir Wiegand, Thomas text Geneva International Telecommunication Union 2017 monographic eng pdf 10 p. The areas of machine learning and communication technology are converging. Today's communication systems generate a large amount of traffic data, which can help to significantly enhance the design and management of networks and communication components when combined with advanced machine learning methods. Furthermore, recently developed end-to-end training procedures offer new ways to jointly optimize the components of a communication system. Also, in many emerging application fields of communication technology, e.g., smart cities or Internet of things, machine learning methods are of central importance. This paper gives an overview of the use of machine learning in different areas of communications and discusses two exemplar applications in wireless networking. Furthermore, it identifies promising future research topics and discusses their potential impact. Wojciech Samek, Slawomir Stanczak and Thomas Wiegand Tecnologías habilitadoras digitales Science and Technology 2616-8375 Vol. 2018, no. 1, p. 49-58 2018 1 49 https://www.itu.int/dms_pub/itu-s/opb/journal/S-JOURNAL-ICTS.V1I1-2017-6-PDF-E.pdf https://www.itu.int/dms_pub/itu-s/opb/journal/S-JOURNAL-ICTS.V1I1-2017-6-PDF-E.pdf FR-PaOEC 190601 20211006062617.0 00005327