Page 41 - Crowdsourcing AI and Machine Learning solutions for SDGs - ITU AI/ML Challenges 2024 Report
P. 41
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.
33