Recognizing words on a microcontroller using TinyML #ML #MachineLearning #AI #EdgeBadge
AI on IoT is moving from the cloud to the edge, running models closer to the data. Traditionally the hardware to run these models on the edge has been powerful, with GPUs or compute sticks.
But what if you could run a model in only a few kilobytes of memory on a tiny micro-controller drawing less than a milliwatt of power?
In this video we look at doing just that, training a wake word model in the cloud using Azure ML Studio, then compressing it to 18KB and running it on an Adafruit EdgeBadge, a small, low-powered micro-controller based device.
8-6-2021 (August 6, 2021) is the Snakiest day of the year and it’s also this year’s CircuitPython Day! The day highlights all things CircuitPython and Python on Hardware. See you there!
Stop breadboarding and soldering – start making immediately! Adafruit’s Circuit Playground is jam-packed with LEDs, sensors, buttons, alligator clip pads and more. Build projects with Circuit Playground in a few minutes with the drag-and-drop MakeCode programming site, learn computer science using the CS Discoveries class on code.org, jump into CircuitPython to learn Python and hardware together, TinyGO, or even use the Arduino IDE. Circuit Playground Express is the newest and best Circuit Playground board, with support for CircuitPython, MakeCode, and Arduino. It has a powerful processor, 10 NeoPixels, mini speaker, InfraRed receive and transmit, two buttons, a switch, 14 alligator clip pads, and lots of sensors: capacitive touch, IR proximity, temperature, light, motion and sound. A whole wide world of electronics and coding is waiting for you, and it fits in the palm of your hand.