# 437: Chirping With the Experts

- Show: [Embedded.fm](https://hardwarepodcasts.com/podcast/embedded-fm)
- Published: 2022-12-08
- Length: 1h 05m
- Episode: 437
- Page: https://hardwarepodcasts.com/podcast/embedded-fm/2022-12-08-437-chirping-with-the-experts
- Listen: https://embedded.fm/episodes/437

## Summary

Daniel Situnayake, Head of Machine Learning at Edge Impulse and co-author of the O'Reilly book 'AI at the Edge', discusses the practical application of embedded machine learning. He explains the BLERP framework (Bandwidth, Latency, Economics, Reliability, Privacy) for deciding when to deploy AI on edge devices and emphasizes the importance of responsible AI, including hiring ethicists and using diverse datasets. The conversation also covers the current state of large language models like ChatGPT, noting their utility as creative tools with human-in-the-loop oversight rather than autonomous agents.

## Chapters

- [0:06](https://hardwarepodcasts.com/podcast/embedded-fm/2022-12-08-437-chirping-with-the-experts#t=6) Introduction and Guest Background
- [1:32](https://hardwarepodcasts.com/podcast/embedded-fm/2022-12-08-437-chirping-with-the-experts#t=92) Evolution of Embedded ML Tools
- [4:01](https://hardwarepodcasts.com/podcast/embedded-fm/2022-12-08-437-chirping-with-the-experts#t=241) Real-World Applications and Conservation
- [3:55](https://hardwarepodcasts.com/podcast/embedded-fm/2022-12-08-437-chirping-with-the-experts#t=235) Lightning Round and Book Writing
- [10:22](https://hardwarepodcasts.com/podcast/embedded-fm/2022-12-08-437-chirping-with-the-experts#t=622) AI at the Edge Book Overview
- [12:56](https://hardwarepodcasts.com/podcast/embedded-fm/2022-12-08-437-chirping-with-the-experts#t=776) Responsible AI and Team Building
- [19:39](https://hardwarepodcasts.com/podcast/embedded-fm/2022-12-08-437-chirping-with-the-experts#t=1179) Defining AI and Math Requirements
- [34:01](https://hardwarepodcasts.com/podcast/embedded-fm/2022-12-08-437-chirping-with-the-experts#t=2041) BLERP Framework for Edge AI
- [41:26](https://hardwarepodcasts.com/podcast/embedded-fm/2022-12-08-437-chirping-with-the-experts#t=2486) Reliability and Sensor Fusion
- [48:48](https://hardwarepodcasts.com/podcast/embedded-fm/2022-12-08-437-chirping-with-the-experts#t=2928) ChatGPT, LLMs, and Human-in-the-Loop

## Topics

- [AI & machine learning](https://hardwarepodcasts.com/topic/ai-and-machine-learning)
- [Embedded firmware](https://hardwarepodcasts.com/topic/embedded-firmware)
- [Sensors & measurement in products](https://hardwarepodcasts.com/topic/sensors)
- [Leadership, teams & culture](https://hardwarepodcasts.com/topic/leadership-and-culture)
- [Security & privacy](https://hardwarepodcasts.com/topic/security-and-privacy)

## Most relevant to

companies scaling up

## Mentioned

- Edge Impulse (company)
- AI at the Edge (product)
- TinyML (product)
- TensorFlow Lite (tool)
- O'Reilly Media (company)
- ChatGPT (product)
- AI Dungeon (product)
- Google (company)
- ARM (company)

## Related episodes from other shows

- [#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)
- [#007: AI, Open Source, and the Future of Embedded Development: How Much Code Will We Actually Write?](https://hardwarepodcasts.com/podcast/coredump-sessions/2025-04-29-007-ai-open-source-and-the-future-of-embedded-development-how-much-code-will-we) (Coredump Sessions)
- [AI and Connectivity at the Edge and Endpoint](https://hardwarepodcasts.com/podcast/ee-times-current/2023-10-19-ai-and-connectivity-at-the-edge-and-endpoint) (EE Times Current)
- [#004: The Future of Edge AI and What it Means for Device Makers](https://hardwarepodcasts.com/podcast/coredump-sessions/2025-02-25-004-the-future-of-edge-ai-and-what-it-means-for-device-makers) (Coredump Sessions)
- [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)

## Citing this page

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