Edge Impulse brings TinyML to millions of Arduino developers

Running machine learning (ML) models on microcontrollers is one of the most exciting developments of the past years, allowing small battery-powered devices to detect complex motions, recognize sounds, or find anomalies in sensor data. To make building and deploying these models accessible to every embedded developer we’re launching first class support for the Arduino Nano 33 BLE Sense and other 32-bit Arduino boards in Edge Impulse.

This is a companion discussion topic for the original entry at https://www.edgeimpulse.com/blog/edge-impulse-brings-ml-to-arduino/