# 327: A Little Bit of Human Knowledge

- Show: [Embedded.fm](https://hardwarepodcasts.com/podcast/embedded-fm)
- Published: 2020-04-09
- Length: 1h 23m
- Episode: 327
- Page: https://hardwarepodcasts.com/podcast/embedded-fm/2020-04-09-327-a-little-bit-of-human-knowledge
- Listen: https://makingembeddedsystems.libsyn.com/327-a-little-bit-of-human-knowledge

## Summary

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.

## Chapters

- [0:06](https://hardwarepodcasts.com/podcast/embedded-fm/2020-04-09-327-a-little-bit-of-human-knowledge#t=6) Introduction: Daniel Situnayake and TinyML Overview
- [6:00](https://hardwarepodcasts.com/podcast/embedded-fm/2020-04-09-327-a-little-bit-of-human-knowledge#t=360) The TinyML Book and TensorFlow Lite for Microcontrollers
- [20:11](https://hardwarepodcasts.com/podcast/embedded-fm/2020-04-09-327-a-little-bit-of-human-knowledge#t=1211) Hardware Targets: Arduino Nano 33 BLE Sense and SparkFun Edge
- [29:23](https://hardwarepodcasts.com/podcast/embedded-fm/2020-04-09-327-a-little-bit-of-human-knowledge#t=1763) The Data Problem: Speech Recognition and Model Accuracy
- [48:32](https://hardwarepodcasts.com/podcast/embedded-fm/2020-04-09-327-a-little-bit-of-human-knowledge#t=2912) Heuristics vs. Machine Learning: When to Use Which
- [55:13](https://hardwarepodcasts.com/podcast/embedded-fm/2020-04-09-327-a-little-bit-of-human-knowledge#t=3313) Shippability of TinyML and Edge Impulse Platform
- [1:06:24](https://hardwarepodcasts.com/podcast/embedded-fm/2020-04-09-327-a-little-bit-of-human-knowledge#t=3984) Past Venture: Automated Cricket Farming and Food Security
- [1:13:08](https://hardwarepodcasts.com/podcast/embedded-fm/2020-04-09-327-a-little-bit-of-human-knowledge#t=4388) Edge Impulse Tools and Future of Embedded AI

## Topics

- [Embedded firmware](https://hardwarepodcasts.com/topic/embedded-firmware)
- [AI & machine learning](https://hardwarepodcasts.com/topic/ai-and-machine-learning)
- [Microcontrollers & dev platforms](https://hardwarepodcasts.com/topic/microcontrollers-and-platforms)
- [Prototyping & iteration](https://hardwarepodcasts.com/topic/prototyping)
- [Starting a product company](https://hardwarepodcasts.com/topic/starting-a-company)

## Most relevant to

early-stage companies

## Mentioned

- Edge Impulse (company)
- TensorFlow Lite for Microcontrollers (tool)
- Arduino Nano 33 BLE Sense (product)
- SparkFun Edge (product)
- Lacuna Space (product)
- O'Reilly (company)

## Related episodes from other shows

- [Pi Zero Handheld, Arduino TensorFlow Weather Prediction, MangoPI RISC-V and More!](https://hardwarepodcasts.com/podcast/the-electromaker-show/2022-02-16-pi-zero-handheld-arduino-tensorflow-weather-prediction-mangopi-risc-v-and-more) (The Electromaker Show)
- [Edge Devices and LLMs: What's Ahead for AI](https://hardwarepodcasts.com/podcast/ontrack/2024-06-12-edge-devices-and-llms-whats-ahead-for-ai) (OnTrack)
- [#013: Prepping Your AI Model for the Wild: Building Edge AI Models That Work in the Real World](https://hardwarepodcasts.com/podcast/coredump-sessions/2025-07-23-013-prepping-your-ai-model-for-the-wild-building-edge-ai-models-that-work-in-the) (Coredump Sessions)
- [ML on Arduino, Framework's Open Hardware, Miniature Billiards Game, and More!](https://hardwarepodcasts.com/podcast/the-electromaker-show/2022-04-29-ml-on-arduino-frameworks-open-hardware-miniature-billiards-game-and-more) (The Electromaker Show)
- [Taming the Wild Edge](https://hardwarepodcasts.com/podcast/ee-times-current/2021-09-17-taming-the-wild-edge) (EE Times Current)

## Citing this page

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