Abstract: Tiny machine learning (TinyML), executing AI workloads on resource and power strictly restricted systems, is an important and challenging topic. This brief firstly presents an extremely tiny ...
Harvard School of Engineering and Applied Sciences offers Fundamentals of TinyML as an introductory online course through its partnership with edX. The course introduces learners to the basics of ...
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 ...
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 ...
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