AI/ML Challenge Finale: Beam-Level Traffic Forecasting and Site specific radio propagation loss

The ITU AI/ML in 5G Challenge in 2024 (Fifth edition) offers a platform for collaboratively addressing the problems in applying AI/ML in communication networks including 5G & 6G. The Challenge connects participants (students and professionals) from more than 100 countries, with industry and academia solving real-world problems using AI/ML in communication networks. The challenge is offering several problem statement in 2024. Some of these problem statements includes;

Spatio-Temporal Beam-Level Traffic Forecasting Challenge
Estimation of Site specific radio propagation loss
Participants are tasked with the development of solutions leveraging state-of-the-art (SOTA) forecasting machine learning models capable of analyzing complex, multivariate time series data on forecasting traffic throughput volumes within communication networks. In the second challenge, participants were tasked to use ML to estimate propagation loss within a certain area from a transmission point (Tx) using 3D map data and propagation loss data from multiple Txs.

In this webinar, top teams from these competitions presents their ML solutions. Stay tuned till the end, where we’ll be announcing and celebrating the winners for their excellent contributions. 

Cash Prizes: The ITU AI/ML in 5G Challenge has set up prize pools of different sizes to reward outstanding teams totaling to 13,000 CHF.

Judges:
Tareq Si Salem
Senior Researcher
Huawei

Nicola Piovesan
Senior Researcher
Huawei

Moderators:
Miya Nishio
Student
University of Tokyo

🔴 Watch the latest #AIforGood videos!
   / aiforgood  

📩 Stay updated and join our weekly AI for Good newsletter:
http://eepurl.com/gI2kJ5

🗞Check out the latest AI for Good news:
https://aiforgood.itu.int/newsroom/

📱Explore the AI for Good blog:
https://aiforgood.itu.int/ai-for-good...

🌎 Connect on our social media:
Website: https://aiforgood.itu.int/
Twitter:   / aiforgood  
LinkedIn Page:   / 26511907  
LinkedIn Group:   / 8567748  
Instagram:   / aiforgood  
Facebook:   / aiforgood  

Disclaimer:
The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.