Democratizing Physical AI: Arduino’s Open Door to Qualcomm’s Platform


Date:  Monday, May 11

Start Time: 2:40 pm

End Time: 3:10 pm

Scaling physical AI breaks at production: prototypes work, then teams rewrite everything for incompatible SDKs, models and control stacks. The core issue is a clash between high-throughput AI and deterministic real‑time control, forcing tradeoffs or fragile handoffs, and turning 90% solutions into months of rework. Arduino VENTUNO Q removes this barrier with a dual‑brain architecture: a Qualcomm Dragonwing IQ‑8275 (up to 40 TOPS) runs AI, while an STM32H5 MCU handles sub‑millisecond real‑time control. Both are coordinated via Arduino App Lab, using the same code, models and tools, from QNN and Edge Impulse to Qualcomm AI Hub, from prototype to production. We’ll demonstrate multi‑camera vision, on‑device gen AI and ROS 2 robotics, showing true prototype‑to‑production continuity without rewrites.

Track

Session Speakers

  • I’m a tech enthusiast, IoT technical advisor and all‑around DevRel pro with a passion for democratizing complex technologies—from embedded to edge to cloud. Today, I’m Director of DevRel at Qualcomm Technologies, Inc. You might know me as the host of The IoT Show, the ex‑Microsoft IoT guy or an IoT and DevRel advisor. My journey started as an embedded developer and consultant (those were the days!). I later became a Technical Evangelist for Microsoft France and Microsoft Corporation, and spent time with Microsoft Open Technologies working across open-source communities—from web and JavaScript to gaming and IoT. I then spent seven years helping build core IoT services on Azure. Between Microsoft and Qualcomm, I ran my own advisory firm, helping industrial players adopt IoT and edge AI—while always advocating for developers. Let’s connect and geek out about sensors, connectivity, physical AI or the industrial metaverse.


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Democratizing Physical AI: Arduino’s Open Door to Qualcomm’s Platform