Edge Impulse and Arduino: Linda Watkins at Embedded World 2026

Edge Impulse and Arduino are moving closer together, and that was the focus when I visited the Edge Impulse booth at Embedded World 2026 to speak with Linda Watkins, Director of Marketing for Edge Impulse. The timing matters for developers: Qualcomm made its official acquisition announcement in March 2025, later brought Arduino into the fold, and is now tying those pieces together with tools and hardware aimed at real edge AI work rather than lab-demo theater, as I noted in my earlier look at the VENTUNO Q platform.
 

Edge Impulse and Arduino at Embedded World 2026

In the interview, Watkins explains how the current push is really about reducing the mess between model development, application logic, and target hardware. That is where Arduino App Lab enters the picture. Arduino has been expanding the environment into a bridge between sketches, Python, Linux-side code, and ready-to-use AI capabilities, while Edge Impulse has been working on a cleaner path for data collection, labeling, training, optimization, and deployment.

That matters because too many embedded AI demos still fall apart at the handoff points. A model may run, but getting it onto hardware, wrapping it in a usable application, and keeping the workflow accessible to non-specialists can still be a nuisance. Watkins’s comments line up with the public messaging around the recent App Lab release and the newly announced full integration work: the pitch is not AI for its own sake, but a shorter route from idea to working device.

What Edge Impulse and Arduino Change

One sensible question after Qualcomm’s acquisitions is whether everything starts collapsing into a single closed stack. The answer, at least from public statements and from Watkins’s framing in the interview, is no. Edge Impulse has said it will continue supporting a broad hardware base across MCUs, CPUs, GPUs, and NPUs even as Qualcomm platforms become more tightly integrated. For engineers, that is the practical point: a smoother workflow is useful only if it widens options instead of turning into a gated ecosystem.

From Workflow Talk to Real Hardware

The hardware backdrop to this interview is VENTUNO Q, announced ahead of the show as a dual-brain platform pairing Qualcomm Dragonwing IQ8 compute with an STM32H5 microcontroller for deterministic control. Arduino says the board is aimed at offline AI, robotics, vision, and actuation, with Arduino App Lab and Edge Impulse Studio helping to connect the software flow to the target hardware. In plain English, the software story is finally being tied to hardware that can do more than blink politely.

Watch the interview for Watkins’s take on where that integration stands now, how the Arduino relationship is developing, and why this combination is being positioned as a more usable path into practical edge AI development.