How can machine learning boost 5G networks? Submit your papers!

Smart 5G systems will enable a range of emerging technologies that have the potential to improve lives at a pace and scale not seen before. And machine learning holds great promise to optimize 5G and future networks. This will affect ITU's standardization work in fields such as coding algorithms; data collection, storage and management; and network management and orchestration – raising a host of important questions such as: These questions will be central to ITU's 10th annual Kaleidoscope academic conference from 26-28 November in Sante Fe, Argentina. "Kaleidoscope 2018: Machine learning for a 5G future" is the tenth in a series of peer-reviewed academic conferences organized by ITU to bring together a wide range of views from universities, industry and research institutions. The aim of the Kaleidoscope conferences is to identify emerging developments in information and communication technologies (ICTs) and, in particular, areas in need of international standards to aid the healthy development of the Information Society.