Page 33 - Crowdsourcing AI and Machine Learning solutions for SDGs - ITU AI/ML Challenges 2024 Report

Crowdsourcing AI and Machine Learning solutions for SDGs

Figure 16: The call for paper for the special issue of the peer-reviewed ITU Journal
for Future and Evolving Technologies

11�3�1 ITU Journal on Future and Evolving Technologies

The best peer-reviewed papers resulting from the Challenge are featured in a special issue of
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the ITU Journal “Future and evolving technologies” (https:// www .itu .int/ en/ journal/ -fet/ ). The
ITU J-FET has published several special issues featuring outstanding solutions from the ITU
AI/ML Challenge. These special issues focus on various aspects of AI and machine learning in
communication networks, showcasing innovative research and practical applications. Three
notable special issues include:

• Special Issue on AI and Machine Learning for 5G Networks: https:// www .itu .int/ en/ journal/
j -fet/ 2021/ 005/ Pages/ default .aspx
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• 2 Special Issue on AI and Machine Learning for 5G Networks: https:// www .itu .int/ en/
journal/ -fet/ 2022/ 004/ Pages/ default .aspx
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• 3 Special Issue on AI and Machine Learning for 5G Networks: https:// www .itu .int/ en/
rd
j
journal/ -fet/ 2023/ 004/ Pages/ default .aspx
• 4 Special Issue on AI and Machine Learning for 5G Networks: https:// www .itu .int/ en/
th
journal/ -fet/ 2024/ 003/ Pages/ default .aspx
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11�3�2 IEEE Publications

Some solutions submitted to the ITU AI/ML Challenge have been featured in IEEE journals and
conferences, reflecting the high quality and impact of the research.

11�3�3 ACM Conferences

Participants' solutions have also been presented at leading ACM conferences, fostering
academic and professional discourse in the AI/ML community.

Through these publications and presentations, the ITU AI/ML Challenge has contributed to the
advancement of AI/ML in communication networks. The dissemination of research findings in

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