Abstract: The application of tiny machine learning (TinyML) in human-computer interaction is revolutionizing gesture recognition technologies. However, there remains a significant gap in the ...
Abstract: Tiny battery-free devices running deep neural networks (DNNs) embody intermittent TinyML, a paradigm at the intersection of intermittent computing and deep learning, bringing sustainable ...
The official release for the library currently only supports Cortex-M and ESP32 microcontrollers. Therefore, this repository was created to expand the compatiability to the ESP8266. This project was ...
This repository presents an end-to-end, academic-grade implementation of an embedded machine learning (TinyML) system engineered for real-time predictive maintenance of industrial DC motors. Running ...
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