Embedded AI

"Embedded AI: Intelligence at the Deep Edge" is a forthcoming book by David Such that teaches developers how to integrate artificial intelligence into embedded devices through 25+ hands-on projects, covering hardware selection, data preparation, and model deployment on resource-constrained systems. The book draws on over 30 years of embedded engineering experience and requires no prior machine learning knowledge, using accessible hardware like Arduino UNO and Raspberry Pi Pico. Projects include building voice-activated wake-word detectors, AI noise suppressors, music-composing synthesizers, and neural network-based person detectors.