Deploying 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, classify images or find anomalies in sensor data. To allow any developer to build these models, and deploy them on real hardware Microchip has added support for Edge Impulse to their MPLAB X IDE. This allows developers to collect data from real devices, train machine learning models, and deploy to any Microchip Arm® Cortex®-based 32-bit microcontrollers and microprocessors.
This is a companion discussion topic for the original entry at https://www.edgeimpulse.com/blog/microchip-mplab/