They're reference designs for a reason.
Repository for IMU signal-based exercise detection with Arduino Nano 33 BLE and embedded machine learning (TinyML). Firmware developed with the Arduino IDE and libraries. Model trained with TensorFlow ...
After Qualcomm’s purchase of Arduino it has left many wondering what market its new Uno Q board is trying to target. Taking the ongoing RAM-pocalypse as inspiration, [Bringus Studios] made a tongue-in ...
Abstract: Tiny Machine Learning (TinyML) enables intelligent inference on resource-constrained edge devices, positioning it as a cornerstone for sixth-generation (6G) wireless systems demanding ...
Abstract: The integration of Tiny Machine Learning (TinyML) with human biometric recognition constitutes a significant advancement in enabling secure, efficient, and real-time identity verification on ...
The dataset is divided into five training batches and one test batch, each with 10000 images. The test batch contains exactly 1000 randomly selected images from each class. The training batches ...