
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 SignupReefwing 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.
Podzilla Summary coming soon
Sign up to get notified when the full AI-powered summary is ready.
Free forever for up to 3 podcasts. No credit card required.
Free AI-powered recaps of Embedded and your other favorite podcasts, delivered to your inbox.
Free forever for up to 3 podcasts. No credit card required.