New Podcast: Embedded AI – Where Hardware Meets Intelligence 🎙️
We’re excited to announce the launch of the Embedded AI Podcast, a new show exploring the intersection of artificial intelligence and embedded systems!
About the Podcast
Co-hosted by Luca Ingianni and Ryan Torvik, the Embedded AI Podcast tackles AI in embedded systems from two critical angles:
- AI on embedded devices: Traditional machine learning, edge computing, predictive maintenance, and real-time inference
- AI for embedded developers: Using LLMs and AI tools to enhance embedded development workflows
Meet the Hosts
Luca Ingianni brings his background as an aerospace engineer working across embedded systems in aerospace, automotive, medical, and industrial sectors. As an Agile and DevOps practitioner since 2009, Luca now coaches teams on AI integration in embedded development and is TÜV-certified in AI.
Ryan Torvik is a software engineer with over two decades of experience in cybersecurity and embedded systems. Former principal engineer at Raytheon Intelligence & Space, Ryan is now founder of Tulip Tree Technology, building CodeForge - an AI-powered edge-case discovery tool for embedded systems.
Episode 1: From Fog Computing to Vibe Coding
In the inaugural episode, Ryan and Luca dive into:
- Real-world AI applications from the German Aerospace Conference
- Contrail detection in satellite imagery using AI
- LLM-assisted rocket launch operations and air traffic control
- Sound-based predictive maintenance on industrial machines
- The challenges of “vibe coding” and LLM-assisted development
- Why test-driven development becomes even more important with AI
- How AI is changing the role of embedded engineers
Where to Listen
The Embedded AI Podcast is available on all major podcast platforms:
Or search for “Embedded AI Podcast” on Apple Podcasts, Google Podcasts, or your favorite podcast app.
What to Expect
This is a conversation about learning together - expect frank discussions about what works, what doesn’t, and plenty of real-world examples. Whether you’re implementing AI on resource-constrained devices or exploring AI-assisted development tools, this podcast provides practical insights from practitioners in the field.
Subscribe now and join the conversation about the future of embedded AI!