{"version":1,"type":"rich","provider_name":"Libsyn","provider_url":"https:\/\/www.libsyn.com","height":90,"width":600,"title":"536: I\u2019ve Seen a Giraffe","description":"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.   ","author_name":"Embedded","author_url":"https:\/\/embedded.fm","html":"<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>","thumbnail_url":"https:\/\/assets.libsyn.com\/secure\/content\/207632329"}