Page 41 - Crowdsourcing AI and Machine Learning solutions for SDGs - ITU AI/ML Challenges 2024 Report
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Crowdsourcing AI and Machine Learning solutions for SDGs



               15.7  Building a Thriving Ecosystem


               The ecosystem of experts, collaborators, and participants developed through the challenge has
               continued to grow and evolve. This network has become a valuable resource for ongoing and
               future initiatives, supporting a wide range of activities from problem statement development
               to sponsorship and beyond.


               15.8  Showcasing and Disseminating Research

               Solutions and innovations from the challenge have been widely disseminated through journal
               publications, conference presentations, and workshops. This has amplified the visibility
               of participants' work and contributed to the global discourse on AI/ML applications in
               communication networks.

               Thus, the ITU AI/ML Challenge has made substantial contributions to technological innovation,
               global collaboration, practical skill development, standards creation, sustainable development,
               and the recognition of excellence. Its impact continues to resonate across the AI/ML and
               communication  networks  fields,  driving  progress  and  fostering  a  vibrant,  collaborative
               community.

























































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