Abstract
Arduino VENTUNO Q is a new developer board built for robotics and Edge AI. It combines a powerful AI processor with a neural processing unit (NPU) for on-device inference and a real-time microcontroller for fast, deterministic control, so systems can sense, decide, and act on one board.
This session highlights how Arduino, Qualcomm, and Canonical deliver a out-of-the-box experience with Ubuntu and Arduino App Lab. You will see how App Lab brings Arduino sketches, Python, and AI development into one workflow, whether you use the board with a monitor and keyboard or connect from your computer over USB-C or the network
Speaker Bio
Eric Adams
Eric Adams is a Staff Product Manager at Qualcomm focused on IoT platforms and developer experience, supporting Arduino solutions built on Qualcomm technologies. He works closely with engineering and ecosystem partners to help developers move quickly from first power‑on to production‑ready applications using Ubuntu and Arduino tools.
He brings broad, hands‑on experience across multiple Linux distributions, spanning networking fundamentals such as Ethernet and system bring‑up, cloud‑native technologies and containerized workflows, and the deployment of AI workloads ranging from large‑scale server environments to resource‑constrained edge and device‑level systems. Eric is passionate about turning powerful hardware and software capabilities into cohesive, intuitive workflows that enable developers to prototype faster, iterate confidently, and scale their ideas across IoT, robotics, and Edge AI use cases.
Jim Bruges
Jim Bruges is a Senior Developer Relations Engineer at Edge Impulse, empowering IoT and Edge AI communities to turn device data into insights. With an engineering background, he bridges tech and people, sharing knowledge and real-world IoT use cases.