When we hear about machine learning - whether it's about machines learning to play Go, or computers generating plausible human language - we often think about deep learning.

It's now possible to run advanced machine learning models on cheap, low-power devices at the edge of the network. Learn why embedded machine learning applications is so exciting—and get started building your own.

Now the age of TinyML has come — we can already run meaningful machine learning inference on microcontrollers at scale! This is the start of what Zach Shelby calls the “3rd wave of embedded compute.”