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Embedded AI Podcast

Embedded AI Podcast
Embedded Systems
Artificial Intelligence
Large Language Models
Test-Driven Development
Retrieval Augmented Generation
Context Management
Large Language Models (llms)
Claude Code
TDD
Philosophy Of Prompting
Vector Database
Data Sheets
Fog Computing
Vibe Coding
VS Code
Tokens
Spectrum Development
Openmv
AI In Testing
Agile

A podcast about using AI in embedded systems -- either as part of your product, or during development.

PublishesTwice monthlyEpisodes14Founded7 months ago
Number of ListenersCategory
Technology

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Artwork for Embedded AI Podcast

Latest Episodes

We sit down with Kwabena Ageyman, co-founder of OpenMV, to explore how microcontrollers have evolved from simple 8-bit chips to AI-capable systems that rival desktop computers. Kwabena walks us through OpenMV's journey from the CMU Cam days to their ... more

For E13 we recorded live in Luca's garden in Munich, with Ryan dropping by ahead of Embedded World week. Ryan and Luca talk about spec-driven development in the AI era: where the discipline came from, what changes when an LLM is doing the typing, and... more

We sit down with Jacob Beningo, a real-time embedded systems consultant with 20 years of experience, to talk about what we've learned teaching engineers to use AI in their development workflows. Turns out, the hard part isn't getting AI to write code... more

Ryan and Luca explore practical techniques for using AI to debug embedded systems -- from analyzing breadboard photos to parsing UART output and managing complex debugging workflows. LLMs work best as force multipliers rather than replacements for en... more

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Recent Guests

Kwabena Ageyman
Co-founder of OpenMV
OpenMV
Episode: E14 Kwabena Ageyman on OpenMV
Jacob Beningo
Real-time Embedded Systems Engineer and consultant focused on mission-critical systems
Independent consultant
Episode: E12 Learning AI-powered development with Jacob Beningo
Darwin Sinoy
Guest, currently at GitLab; advocate for modernizing embedded development and MBSE
GitLab
Episode: E09 AI Systems Engineering with Darwin Sanoy
Joe Schneider
Founder of Dojo 5, custom firmware development and Embed OPS founder
Dojo 5
Episode: E08 - AI-Powered Pipelines with Joe Schneider
Michael Lazarenko
Co-founder of Embed (Embed with two Ds)
Embed
Episode: E07 - Embedd, and using AI safely, with Michael Lazarenko
Souvik Pal
Chief Product Officer at FiLabs
FiLabs
Episode: E06 integrating AI into embedded products with Souvik Pal
Jeff Gable
Guest expert discussed in episode
Episode: E04 Crossover with the Agile Embedded Podcast

Hosts

Luca Ingianni
Co-host of Embedded AI Podcast
Ryan Torvik
Host of Embedded AI Podcast
Luca Njanjani
Host of Embedded AI Podcast

Chart Rankings

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Apple Podcasts
#95
Belgium/Technology
Apple Podcasts
#137
South Africa/Technology

Talking Points

Recent interactions between the hosts and their guests.

E14 Kwabena Ageyman on OpenMV
Q: Who is Kwabena Ageyman and what does OpenMV do?
Kwabena Ageyman is the co-founder of OpenMV, a company that makes AI-capable microcontrollers for computer vision tasks; OpenMV produces cameras like the AE3 and N6 with on-board neural accelerators.
E06 integrating AI into embedded products with Souvik Pal
Q: How did you manage multiple AI tasks (vision, audio, wake words) on constrained hardware?
We treated services as Linux system D-style persistent processes and invoked lightweight workers for on-the-spot tasks, using inter-process communication via memory buffers to share audio chunks and prioritize wake word processing to keep latency acceptable for real-time interaction.
E06 integrating AI into embedded products with Souvik Pal
Q: What was your approach to model selection and adaptation for embedded use?
We began with off-the-shelf models (e.g., TensorFlow Lite, MobileNet SSD) but found them unsuitable for ESP32; we then created custom adapters that extracted essential parts of the model into a dedicated C-format weight file, and we experimented with quantization to shrink model size while trying to preserve accuracy.
E06 integrating AI into embedded products with Souvik Pal
Q: How did you decide on the hardware platform for the wearable safety device?
We started with the most power-efficient option (ESP32) to test lightweight computer vision, but memory and compute constraints made it clear that a single microcontroller would be insufficient for robust object detection, so we moved to higher-end boards like Raspberry Pi Zero and eventually to mini PCs for real-time performance.

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Frequently Asked Questions About Embedded AI Podcast

What is Embedded AI Podcast about and what kind of topics does it cover?

A deep-docused show about AI in embedded systems, blending practical engineering challenges with AI-enabled workflows. Across recent episodes, hosts examine how AI can assist—rather than replace—engineers in development, testing, and deployment, exploring topics from TDD and Agile in embedded contexts to model-based systems engineering, data-sheet parsing, and on-device AI pipelines. Guests range from real-time embedded experts to product leaders in embedded AI tooling, often sharing hands-on lessons, warnings about hype, and actionable guidance for building reliable, secure AI-enabled hardware. The format emphasizes practical workflows, guardrails, and human oversight, with frequent discussions around safety-critical considerations, DevOps... more

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Which podcasts are similar to Embedded AI Podcast?

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1. The Agile Embedded Podcast
2. Embedded
3. The AI Daily Brief: Artificial Intelligence News and Analysis

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Embedded AI Podcast launched 7 months ago and published 14 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on Embedded AI Podcast?

Recent guests on Embedded AI Podcast include:

1. Kwabena Ageyman
2. Jacob Beningo
3. Darwin Sinoy
4. Joe Schneider
5. Michael Lazarenko
6. Souvik Pal
7. Jeff Gable

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