AI in the developing world: How ‘tiny machine learning’ can have a big impact

Map of the TinyML Academic Network. More than 50 universities are part of the network as of February 2024. Credit: Marcelo Rovai, CC BY-SA

The landscape of artificial intelligence (AI) applications has traditionally been dominated by the use of resource-intensive servers centralized in industrialized nations. However, recent years have witnessed the emergence of small, energy-efficient devices for AI applications, a concept known as tiny machine learning (TinyML).

We’re most familiar with consumer-facing applications such as Siri, Alexa, and Google Assistant, but the limited cost and small size of such devices allow them to be deployed in the field. For example, the technology …

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