AI with Edge Impulse and Arduino will be the subject of the next Elektor Engineering Insights. It will look at a question many embedded developers have been asking for a while: Can the path from data collection to on-device inference finally become less fiddly?

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Following recent platform launches, a guided model-training flow, and recent Elektor coverage from embedded world 2026, the live session is on Wednesday, April 8, 2026, at 16:00 CEST. Edge Impulse’s Alessandro Grande will join, along with a guest from Arduino.

 

What the Edge AI Elektor Engineering Insights Will Cover

Rather than treating edge AI as a vague slogan, the discussion is expected to focus on the real engineering workflow. That means data capture on hardware, labeling, model training, optimization, packaging, and getting the result back onto an actual device without half the project turning into glue code. A lot of the interest here comes from the tighter connection between Arduino App Lab and Edge Impulse, which is supposed to let developers move more smoothly from idea to deployed application, whether they are experimenting with vision, audio, sensor fusion, or robotics.

The session will also dig into what is genuinely new in this moment. Arduino has built a large community around accessible hardware and approachable tooling, while Edge Impulse has spent years reducing friction in embedded ML workflows. Put together, that raises some interesting questions. Where do smaller task-specific models beat generic ones? When does it make more sense to run several smaller models in a cascade instead of one all-purpose model? And what kinds of projects become realistic on UNO Q and VENTUNO Q that would previously have been awkward, overcomplicated, or simply not worth the trouble?

About Alessandro Grande

Edge Impulse’s Alessandro Grande
Edge Impulse’s Alessandro Grande

Grande comes to the conversation from the hardware-software boundary rather than from AI hype-land. He started at Arm as an engineer, later worked in partner management and developer relations, and now focuses at Edge Impulse on helping teams move from trained model to working device with fewer headaches. He is also active in the Edge AI Foundation community.

Giveaway

We’re giving away 3 copies of the special Edge Impulse edition of Elektor Mag, as well as the upcoming Elektor Academy Pro book on the Arduino UNO Q — a perfect match for this show’s subject matter. Join us to enter!