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Artificial Intelligence is increasingly shaping the way we address real-world challenges. Yet, many solutions remain dependent on high-power computing and constant connectivity, limiting their reach in regions where infrastructure, affordability, and accessibility are key constraints. Edge AI and TinyML offer an alternative, bringing intelligence directly onto low-power devices that can operate offline, affordably, and close to where data is generated.
Across Africa, innovators are already exploring how these approaches can enable smarter, faster, and more sustainable solutions that work even in resource-constrained environments. Recognizing this potential, the ITU AI for Good is launching a special call for projects and initiatives built on Edge AI (including TinyML) in Africa.
