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TinyML (Tiny Machine Learning) is a field that focuses on running machine learning models on resource-constrained devices, such as microcontrollers and embedded systems. It enables the deployment of machine learning models in edge devices with limited processing power and memory, making them capable of tasks like image and voice recognition.

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Development by Synergize.digital

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