AI/ML Challenge Finale: QoS prediction, Network Traffic Scenario Prediction & SDN Security

The ITU AI/ML in 5G Challenge in 2023 (Fourth 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 12 problem statement in 2023. Some of these problem statements includes;

Multi-environment automotive QoS prediction
Intrusion and Vulnerability Detection in Software-Defined Networks
Network Traffic Scenario Prediction

Participants are tasked with producing machine learning models for precise predictions or detections, which in turn propel advancements for 5G or even 6G technologies. Participating in these challenges developed ML models for; (a) QoS prediction and the use of transfer learning and/or domain adaptation to generalize the trained algorithms across operators, vehicles, or urban areas (b) detecting vulnerabilities and intrusions in SDNs and deepening their understanding of the critical nature of SDN security and (c) to predict the traffic scenario for unknown traffic.

Cash Prizes: The ITU AI/ML in 5G Challenge has set up prize pools of different sizes to reward outstanding teams totaling to 3,000 CHF. Each problem statement will receive 1,000 CHF or 1,000 USD to be split amongst winning solutions.

Speakers:
Evren Tuna
6G Researcher
Ulak Communications

Liya Yuan
Open Source & Standardization Engineer
ZTE

Rodrigo Hernangómez
Research Associate
Fraunhofer Heinrich Hertz Institute (HHI)

Moderators:
Thomas Basikolo
Programme Officer
International Telecommunication Union (ITU)

Vishnu Ram OV
Independent Research Consultant
Consultant

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

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