Conferences
26–28 November 2018, Santa Fe, Argentina
Kaleidoscope 2018: Machine learning for a 5G future
Machine learning shows promise to assist smarter use of network-generated data, enabling ICT network operators and service providers to adapt to changes in traffic patterns, security risks and user behaviour. This will also affect ITU standardization work in fields such as coding algorithms; data collection, storage and management; and network management and orchestration.
Kaleidoscope 2018 calls for original scientific papers addressing advances in research on machine learning and artificial intelligence techniques for future communication networks, covering all aspects of network design, management, implementation and optimization. This year's conference will assist ITU standardization experts in capitalizing on machine learning in their preparations for the 5G era and beyond. Authors of outstanding papers will be invited to contribute to the work of ITU-T Focus Group on Machine Learning for Future Networks including 5G.
For additional information on Kaleidoscope 2018, please refer to the website.
https://www.itu.int/en/ITU-T/academia/kaleidoscope/2018/Pages/default.aspx