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AutoML for Low-Power TinyML Sensors by kaushalsharma274401 is a document available to read on EtoBox.

What is AutoML for Low-Power TinyML Sensors about?

This paper presents an automated machine learning framework designed for ultra-low power microcontroller-level deployment on the iNEMO inertial measurement unit, eliminating the need for manual coding and expert tuning. The framework addresses challenges such as compute constraints and limited parameter support while achieving significant accuracy and runtime improvements over traditional methods. Future developments include launching the tool via ST MEMS Studio and enhancing feature selection algorithms.

Author

kaushalsharma274401

Language

EN