ITU AI/ML in 5G Challenge: Graph Neural Networking Challenge 2020
Artificial Intelligence (AI) will be the dominant technology of the future and will impact every corner of society. In particular, AI / ML (machine learning) will shape how communication networks, a lifeline of our society, will be run. Many companies in the ICT sector are exploring how to make best use of AI/ML. ITU has been at the forefront of this endeavour exploring how to best apply AI/ML in future networks including 5G networks. The time is therefore right to bring together the technical community and stakeholders to brainstorm, innovate and solve relevant problems in 5G using AI/ML. Building on its standards work, ITU is conducting a global ITU AI/ML 5G Challenge on the theme “How to apply ITU’s ML architecture in 5G networks”.
Participants will be able to solve real world problems, based on standardized technologies developed for ML in 5G networks. Teams will be required to enable, create, train and deploy ML models (such that participants will acquire hands-on experience in AI/ML in areas relevant to 5G). Participation is open to ITU Member States, Sector Members, Associates and Academic Institutions and to any individual from a country that is a member of ITU.
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Speakers, Panelists and Moderators
JOSÉ SUÁREZ-VARELAResearcherUniversitat Politècnica de CatalunyaJosé Suárez-Varela received his B.Sc. and M.Sc. degrees in Telecommunication engineering from the University of Granada (UGR), in 2014 and 2017 respectively. He is currently pursuing a Ph.D. at the Barcelona Neural Networking Center (BNN-UPC). During 2019, he was a visiting researcher at the University of Siena, where he was investigating about Graph Neural Networks with some pioneering researchers of the Artificial Intelligence (AI) field. His main research interests are in the field of network AI, particularly in the application of Graph Neural Networks for network control and management. He is also interested in traffic measurement and classification, and their application in Software-Defined Networking.