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Small AI Models Gain Traction Around the World

In places with unreliable networks and no data-center infrastructure, smaller is better

In places with unreliable networks and no data-center infrastructure, smaller is better

David Berreby

A middle-aged man monitors his younger colleague through a simulator lab window as he conducts heart-rhythm experiments on a medical dummy.

Jose Alberto Ferreira, a researcher at the Patient Simulator Lab at the University of Itajubá, in Brazil, tests a TinyML (Tiny Machine Learning) model that generates electrocardiograms.