UPDATE - FINAL CALL FOR ENTRANTS
Deadline 21st August 2020
Cash Prizes: The ITU AI/ML in 5G Challenge has set up prize pools of different sizes to reward outstanding teams totaling to around 20, 000 CHF.
Participants/Teams from different problem statements will compete for ITU AI/ML in 5G Challenge Champion
- 1st prize: 5,000 CHF
- 2nd prize: 3,000 CHF
- 3rd prize: 2,000 CHF
- 3 Runners up will receive 1, 000 CHF each
There will be other amounts to be won at Problem Statement level.
Webinars have shared insight into problem statements in neural networking, millimetre-wave MIMO systems, Wireless LANs, and radio link performance prediction using weather data (The webinars are on-going and previous one can be viewed on demand).
Participants are encouraged to join our Slack Channel
Competitors are meeting new partners in the ITU community – and gaining access to new tools and data resources – to achieve goals set out by problem statements contributed by industry and academia in Brazil, China, India, Ireland, Japan, Spain, Turkey and the U.S.
The Grand Challenge Finale, an online conference in December 2020, will demo outstanding solutions and decide the overall winners of the Challenge.
Select your challenge
The Challenge welcomes students and professionals, competing as individuals or teams.
Each problem statement forms a unique challenge – ‘problem owners’ define the challenge, offer supporting tools and data resources, and highlight their evaluation criteria for proposed solutions.
Need guidance on solving the problems?
‘AI for Good’ webinars with the problem owners are connecting competitors with mentors and leading experts in the application domains targeted by the problem statements.
Competitors also benefit from new ITU standards addressing the integration of AI and Machine Learning into 5G and future networks (ITU Y.3172, Y.3173 and Y.3174).
Join our Slack channel to receive the latest updates on the Challenge.
Four technical tracks
The Challenge addresses problem statements in four technical tracks.
- A Network Track challenges entrants to build and train AI and Machine Learning models capable of supporting 5G networking functions.
- An Enablers Track calls for innovations enabling networks to take full advantage of AI and Machine Learning models and their outputs.
- A Verticals Tracks asks how 5G-enabled applications in vertical markets such as automotive and healthcare could benefit from AI and Machine Learning capabilities.
- A Social Good Track invites innovations capable of accelerating progress towards the achievement of the United Nations Sustainable Development Goals.
The Challenge is sponsored by Cisco Systems and ZTE; and supported by promotional partners Linux Foundation, NGMN and SGInnovate.
The regional hosts for the Challenge are Universidade Federal do Pará (Brazil); Artificial Intelligence Industry Alliance and ADLIK/ZTE (China); Indian Institute of Technology, Delhi (India); Letterkenny Institute of Technology (Ireland); RISING (Japan); Barcelona Neural Net-working Center and Universitat Pompeu Fabra (Spain); Turkcell (Turkey); and North Carolina State University (U.S.).