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AI has traditionally been the realm of expensive computers, with models trained and run on GPUs and other expensive hardware. More recently this has started to change with a move towards TinyML - small machine learning models that are trained on the expensive hardware, but run on smaller, cheaper devices including the low power micro-controllers that run IoT and maker devices.
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