AI/ML Challenge Finale: Graph Neural Networking Challenge and Network failure using digital twins

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;

Graph Neural Networking Challenge 2023 – Creating a Network Digital Twin with Real Network Data

Network failure using digital twins

The 2023 Graph Neural Networking Challenge entitled “Building a Network Digital Twin using data from real networks” challenged participants to develop, for the first time ever, a GNN-based Network Digital Twin using a dataset from a real-network.

The Network Failure Classification Challenge utilizes advanced Network Digital Twin (NDT) technology. NDT serves as a virtual replica of real-world networks, allowing practical simulations of network behaviors and operations. The primary goal of this challenge is to create a network failure classification model, specifically a Root Cause Analysis (RCA) model, to facilitate operational tasks such as failure analysis and mitigation within the context of Beyond 5G.

The AI for Good Global Summit is the leading action-oriented United Nations platform promoting AI to advance health, climate, gender, inclusive prosperity, sustainable infrastructure, and other global development priorities. AI for Good is organized by the International Telecommunication Union (ITU) – the UN specialized agency for information and communication technology – in partnership with 40 UN sister agencies and co-convened with the government of Switzerland.

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