Part XII: Edge, Embedded, Streaming, and Federated Sensor AI
Chapter 61  [A]

TinyML and Microcontroller Sensor AI

Placeholder chapter page. Sections are produced by the book-skills pipeline.

Sections

  1. 61.1 TinyML design constraints
  2. 61.2 Feature extraction on microcontrollers
  3. 61.3 Quantized networks and TinyNAS/MCUNet
  4. 61.4 Runtimes: LiteRT/TF-Lite-Micro, microTVM, ExecuTorch
  5. 61.5 Wake-up cascades and always-on sensing
  6. 61.6 Firmware integration and testing on hardware
  7. 61.7 Field update and rollback; MLPerf Tiny

Lab 61

deploy a motion classifier to an MCU (or a faithful embedded simulation) and benchmark it.