Hardware Podcasts

327: A Little Bit of Human Knowledge

Embedded.fm · 9 Apr 2020 · 1h 23m · Episode 327

What this episode covers

Daniel Situnayake, author of 'TinyML' and engineer at Edge Impulse, explains how to run machine learning models on ultra-low-power microcontrollers using TensorFlow Lite for Microcontrollers. He details the workflow of using Google Colab to train models and deploying them to boards like the Arduino Nano 33 BLE Sense and SparkFun Edge. Situnayake emphasizes that success depends on data quality and scoping, noting that while the technology is shippable, it requires careful handling of diverse datasets to avoid poor performance in real-world conditions.

Most relevant to

early-stage companies

Topics

Mentioned

Companies
Edge Impulse, O'Reilly
Products
Arduino Nano 33 BLE Sense, SparkFun Edge, Lacuna Space
Tools
TensorFlow Lite for Microcontrollers

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