Previous challenges that were held by ITU regarding AI and machine learning.
| Year | Challenge Type | Challenge Title | Curator |
|---|---|---|---|
| 2023 | AI/ML in 5G Challenge | AI/ML for 5G-Energy Consumption Modelling | Huawei |
| 2023 | AI/ML in 5G Challenge | Depth Map Estimation in 6G mmWave systems | NIST |
| 2023 | AI/ML in 5G Challenge | Fault Impact Analysis: Towards Service-Oriented Network Operation & Maintenance | Huawei |
| 2023 | AI/ML in 5G Challenge | Graph Neural Networking Challenge 2023 - Creating a Network Digital Twin with Real Network Data | BNN-UPC |
| 2023 | AI/ML in 5G Challenge | Intrusion and Vulnerability Detection in Software-Defined Networks (SDN) | ULAK Comm. |
| 2023 | AI/ML in 5G Challenge | Multi-environment automotive QoS prediction | Fraunhofer HHI |
| 2023 | AI/ML in 5G Challenge | Network Traffic Scenario Prediction Challenge | ZTE |
| 2023 | AI/ML in 5G Challenge | QoS Prediction Challenge | ITU, Fraunhofer HHI |
| 2023 | AI/ML in 5G Challenge | Title Extraction in Lecture Slides Challenge | ITU |
| 2023 | AI/ML in 5G Challenge | Network failure classification model using network digital twin | KDDI |
| 2023 | AI/ML in 5G Challenge | MultiModal V2V Beam Prediction Challenge 2023 | Wireless Intelligence Lab - Arizona State University |
| 2023 | AI/ML in 5G Challenge | 3D Location Estimation Using RSSI of Wireless LAN | Rising |
| 2023 | AI/ML in 5G Challenge | Build-a-thon 2023 | ITU Focus Group on Autonomous Networks (FG-AN) |
| 2022 | AI/ML in 5G Challenge | BYOC: Build your own Closed loop | ITU Focus Group Autonomous Networks (FG-AN) |
| 2022 | AI/ML in 5G Challenge | Classification of Home Network Users to Improve User Experience | ZTE |
| 2022 | AI/ML in 5G Challenge | Depth Map Estimation in 6G mmWave systems | NIST |
| 2022 | AI/ML in 5G Challenge | Federated Traffic Prediction for 5G and Beyond | CTTC (Centre Tecnològic de Telecomunicacions de Catalunya) |
| 2022 | AI/ML in 5G Challenge | Graph Neural Networking Challenge 2022: Improving Network Digital Twins through Data-centric AI | BNN-UPC |
| 2022 | AI/ML in 5G Challenge | I/Q-based Beam Classification with the DeepBeam Dataset | Northeastern University |
| 2022 | AI/ML in 5G Challenge | Location Estimation Using RSSI of Wireless LAN in NLoS Environment | RISING |
| 2022 | AI/ML in 5G Challenge | Machine Learning for Throughput Prediction in Coordinated IEEE 802.11be Wi-Fi networks | UPF |
| 2022 | AI/ML in 5G Challenge | Multi Modal Beam Prediction Challenge 2022: Towards Generalization | Arizona State University |
| 2022 | AI/ML in 5G Challenge | Network failure prediction on CNFs 5GC with Linux eBPF | KDDI |
| 2022 | AI/ML in 5G Challenge | Next-Gen WiFi Throughput Prediction Challenge | ITU, UPF |
| 2022 | AI/ML in 5G Challenge | Non-linear Power Amplifier Behavioral Modeling to achieve higher energy efficiency in 5G RAN | ZTE |
| 2022 | AI/ML in 5G Challenge | Slide Transition Detection and Title Extraction in Lecture Videos | ITU |
| 2022 | AI/ML in 5G Challenge | Synthetic Observability Data Generation using GANs | LF Networking |
| 2021 | AI/ML in 5G Challenge | Combinatiorial Optimization Challenge: Delivery route optimization | ZTE |
| 2021 | AI/ML in 5G Challenge | Federated Learning for Spatial Reuse in a multi-BSS (Basic Service Set) scenario | UPF |
| 2021 | AI/ML in 5G Challenge | Forecasting Model for Service Allocation Network Using Traffic Recognition | SPbSUT |
| 2021 | AI/ML in 5G Challenge | Graph Neural Networking Challenge 2021: Creating a Scalable Network Digital Twin | BNN-UPC |
| 2021 | AI/ML in 5G Challenge | Lightning-Fast Modulation Classification with Hardware-Efficient Neural Networks | Xilinx |
| 2021 | AI/ML in 5G Challenge | Location estimation using RSSI of wireless LAN | RISING |
| 2021 | AI/ML in 5G Challenge | ML5G-PHY-Localization: Multidevice localization with mmWave signals in a factory environment | NC State University |
| 2021 | AI/ML in 5G Challenge | ML5G-PHY-Reinforcement learning: scheduling and resource allocation | UFPA |
| 2021 | AI/ML in 5G Challenge | Network anomaly detection based on logs | China Unicom |
| 2021 | AI/ML in 5G Challenge | Network failure detection and root cause analysis in 5GC by NFV-based test environment | KDDI |
| 2021 | AI/ML in 5G Challenge | Build-a-thon (PoC)Network resource allocation for emergency management based on closed loop analysis | ITU Focus Group on Autonomous Networks (FG-AN) |
| 2021 | AI/ML in 5G Challenge | Radio Link Failure Prediction | Turkcell |
| 2021 | AI/ML in 5G Challenge | RF-Sensor Based Human Activity Recognition | The University of Alabama |
| 2021 | AI/ML in 5G Challenge | WALDO (Wireless Artificial intelligence Location DetectiOn): sensing using mmWave communications and ML. | NIST |
| 2020 | AI/ML in 5G Challenge | 5G+AI (Smart Transportation) | JNU |
| 2020 | AI/ML in 5G Challenge | 5G+AI+AR(Zhejiang Division) | China Unicom |
| 2020 | AI/ML in 5G Challenge | Analysis on route information failure in IP core networks by NFV-based test environment | KDDI |
| 2020 | AI/ML in 5G Challenge | Compression of Deep Learning models | ZTE |
| 2020 | AI/ML in 5G Challenge | Demonstration of MLFO capabilities via reference implementations | Letterkenny Institute of Technology, Co. Donegal |
| 2020 | AI/ML in 5G Challenge | DNN Inference Optimization Challenge | ADLIK, ZTE |
| 2020 | AI/ML in 5G Challenge | Energy-Saving Prediction of Base Station Cells in Mobile Communication Network | China Unicom |
| 2020 | AI/ML in 5G Challenge | Fault Localization of Loop Network Devices based on MEC Platform | China Unicom |
| 2020 | AI/ML in 5G Challenge | Improving the capacity of IEEE 802.11 WLANs through machine learning | UPF, ITU |
| 2020 | AI/ML in 5G Challenge | ML5G-PHY -Beam-Selection: Machine Learning Applied to the Physical Layer of Millimeter-Wave MIMO Sytems | UFPA |
| 2020 | AI/ML in 5G Challenge | ML5G-PHY- Channel Estimation @NCSU: Machine Learning Applied to the Physical Layer of Millimeter-Wave MIMO Systems at North Carolina State University | NC State University |
| 2020 | AI/ML in 5G Challenge | Network State Estimation by Analyzing Raw Video Data | NEC |
| 2020 | AI/ML in 5G Challenge | Network topology optimization | China Mobile |
| 2020 | AI/ML in 5G Challenge | Out of Service(OOS) Alarm Prediction of 4/5G Network Base Station | China Mobile |
| 2020 | AI/ML in 5G Challenge | Privacy Preserving AI/ML in 5G networks for healthcare applications | C-DOT, Delhi |
| 2020 | AI/ML in 5G Challenge | Using Weather Infor for Radio Link Failure Prediction Challenge | Turkcell |
| 2020 | AI/ML in 5G Challenge | Shared Experience Using 5G+AI (3D Augmented + Virtual Reality) | Hike |
| 2020 | AI/ML in 5G Challenge | Traffic recognition and long-term traffic forecasting based on AI algorithms and metadata for 5G/IMT-2020 and beyond | SPbSUT |
| 2020 | AI/ML in 5G Challenge | Graph Neural Networking Challenge | BNN, UPC |
| 2020 | AI/ML in 5G Challenge | Improving experience and enhancing immersiveness of Video conferencing and collaboration | Dview |
| 2020 | AI/ML in 5G Challenge | 5G+ML/AI (Dynamic Spectrum Access) | IITD |
| 2023 | GeoAI Challenge | GeoAI Challege Location Mention Recognition from Social Media | QCRI, QU, Qen Labs Inc. |
| 2023 | GeoAI Challenge | GeoAI Challenge Estimating Soil Parameters from Hyperspectral Images | ESA (European Space Agency) |
| 2023 | GeoAI Challenge | GeoAI Challenge for Air Pollution Susceptibility Mapping | GEOlab at Polytechnic di Milano |
| 2023 | GeoAI Challenge | GeoAI Challenge for Cropland Mapping | UNODC, FAO |
| 2023 | GeoAI Challenge | GeoAI Challenge for Landslide Susceptibility Mapping | GEOlab at Polytechnic di Milano |
| 2022 | GeoAI Challenge | Cropland mapping with satellite imagery | FAO |
| 2022 | GeoAI Challenge | Location Mention Recognition from Social Media Crisis-related Text | QCRI, QU, Qen Labs Inc. |
| 2022 | GeoAI Challenge | School mapping with big data | UNICEF |
| 2024 | tinyML Challenge | Next-Gen tinyML Smart Weather Station Challenge | CSEM |
| 2023 | tinyML Challenge | Next-Gen tinyML Smart Weather Station | CSEM, tinyML Foundation |
| 2023 | tinyML Challenge | Scalable and High-Performance TinyML Solutions for Plant Disease Detection | ITU |
| 2023 | tinyML Challenge | Scalable and High-Performance TinyML Solutions for Wildlife Monitoring | ITU |
| 2022 | tinyML Challenge | Smart Weather Station Challenge | ICTP, ITU, tinyML Foundation |
| 2023 | AI for Fusion Energy Challenge | Multi-Machine Disruption Prediction Challenge for Fusion Energy by ITU | ITU, IAEA, PSFC, Huazhong University of Science and Technology |