David Such joins us to discuss his new book, Embedded AI: Intelligence at the Deep Edge. We explore the boundary between classical signal processing, heuristics, and edge machine learning; IMU processing and sensor fusion; and how to determine what sort of ML fits on your processor. David also shares his experiences writing for No Starch Press and why future robotic architectures need a digital cerebellum for low-level reflexes.
David Such is an electrical engineer based in Sydney. He is the director of Reefwing Software.
Discussion Resources & Links
David's Website & Book Resources:
Embedded AI: Intelligence at the Deep Edge (No Starch Press, on Amazon)
Embedded AI GitHub Repository
Embedded AI Newsletter Signup
Reefwing Software Website
Reefwing Software on Medium
Technologies & Frameworks Mentioned:
Sensor Fusion, Kalman filters, Mahoney filters, and quaternions for IMU processing
TensorFlow Lite for Microcontrollers & Edge Impulse
Raspberry Pi Pico / RP2040 PIO and DMA engines for high-speed signal processing
Syntiant neural processing chips (Arduino Nicla Voice)
MicroPython for embedded scripting and test automation
Book Giveaway & Discount Code:
No Starch Press is giving away two print copies of Embedded AI (US/Canada residents). Entry rules are in the show, due by Nov 1, 2026. There is also a coupon for the book good through Nov 5, 2026.
Transcript