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Tiny Machine Learning (TinyML) is a technology field that enables the execution of machine learning algorithms on low-power embedded hardware. This field makes it possible for artificial intelligence models, which traditionally require high computational power, large memory capacity, and significant energy consumption, to operate on devices with limited resources such as microcontrollers. In this context, TinyML forms the foundation of next-generation intelligent systems by integrating the compu