1 rich Libsyn https://www.libsyn.com 90 600 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 &amp;amp; LINKS David's Website &amp;amp; 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 &amp;amp; Frameworks Mentioned: Sensor Fusion, Kalman filters, Mahoney filters, and quaternions for IMU processing TensorFlow Lite for Microcontrollers &amp;amp; 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 &amp;amp; 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. Embedded https://embedded.fm <iframe title="Libsyn Player" style="border: none" src="//html5-player.libsyn.com/embed/episode/id/43316539/height/90/theme/custom/thumbnail/yes/direction/forward/render-playlist/no/custom-color/88AA3C/" height="90" width="600" scrolling="no" allowfullscreen webkitallowfullscreen mozallowfullscreen oallowfullscreen msallowfullscreen></iframe> https://assets.libsyn.com/secure/content/207632329