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Tiny machine learning (TinyML) is a new concept that utilizes small, energy-efficient devices for AI applications. These devices, which operate within constraints reminiscent of the dawn of the personal-computer era, have the potential to be deployed in various fields such as healthcare and conservation. Development packages for TinyML applications are already available, making this technology accessible and scalable.