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AI in the Developing World: How ‘Tiny Machine Learning’ can have a Big Impact

A team in Argentina is using sensors based on TinyML technology to study Chelonoidis chilensis tortoises. Little is known about its biology and the species is in a vulnerable state. The small sensors, in black on the shell, are small enough to allow the animal to move freely. Author provided

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 d...

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