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The areas of machine learning and communication technology are converging.Today's communications systems generate a huge amount of traffic data, whichcan help to significantly enhance the design and management of networks andcommunication components when combined with advanced machine learning methods.Furthermore, recently developed end-to-end training procedures offer new waysto jointly optimize the components of a communication system. Also in manyemerging application fields of communication technology, e.g., smart cities orinternet of things, machine learning methods are of central importance. Thispaper gives an overview over the use of machine learning in different areas ofcommunications and discusses two exemplar applications in wireless networking.Furthermore, it identifies promising future research topics and discusses theirpotential impact.

The Convergence of Machine Learning and Communications