Qualcomm Developer

After a prototype works, the next question is always the same: can it keep up when the environment gets real? This Edge Impulse demo picks up where Arduino leaves off — applying vision models to fast‑moving industrial data, running entirely on device, with predictable latency and no cloud dependency. It’s another step in the same continuous path: build → deploy → operate, without breaking the workflow. Qualcomm Dragonwing #edgeai

Attending Embedded Vision Summit (May 11–13 in Santa Clara)? If computer vision or on‑device AI is on your roadmap, we have a solid line‑up worth prioritising: → Democratising Physical AI (Arduino + Qualcomm): a practical path from quick prototypes to production‑ready physical AI with Olivier Bloch →Computer Vision Across Edge Verticals: how teams are actually scaling CV across devices and industries without becoming hardware experts with Derrick Chang → Deep Dive on Hexagon NPUs + Qualcomm AI Hub (separate registration): a hands‑on session where you compile, optimise, profile, and integrate models—and leave with a working app and real performance data with Meghan Stronach If you prefer sessions that show how things work (not just what’s possible), this is a good use of your Summit time. 🔗 https://bit.ly/4cYwtRV Edge AI and Vision Alliance #edgeai #computervision #embeddedsystems

Join us live for an AMA with TinyML co-author Daniel Situnayake as we celebrate the launch of AI Upskilling Certificate: “Hands-On Development from Model to App”. We’ll dive into the motivation behind O'Reilly's TinyML book and movement, cover the new course, why edge AI matters today and answer your questions live.

Bring your questions to our AMA about the upcoming Qualcomm x Google LiteRT hackathon and get them answered live! The Qualcomm and Google teams will tell you everything you need to know about the event - where you’ll be working with a team on building, deploying, and optimizing on-device experiences using Google LiteRT on a Snapdragon powered Samsung Galaxy S25 Ultra. Tune in to find out the skills you’ll need and what to expect from the audio/vision model track or the generative AI model track.

Quick shout to our Qualcomm x Google #LiteRT on-device AI hackathon teams (and everyone who loves on-device AI): the pre-hack live AMA is happening in 2 hours 🙌🏻 Make sure to tune in at 10am PSD/7pm CET: https://bit.ly/3R473e5

Running AI on device means thinking differently about performance, power, and deployment. With #LiteRT and Qualcomm AI Engine Direct, Snapdragon NPUs become directly accessible through a unified workflow. This is a useful overview of how that works in practice.👇🏻

Did you know you can run OpenClaw + Hermes agents on your favourite hardware? This guide shows how to get started on Arduino Uno Q, Rubik PI, and Snapdragon PCs - so you can experiment with AI agents on real devices, not just in a sandbox. 👉 Read the blog and start building: https://bit.ly/4cJnBPI #openclaw #aiagents

Tired of seeing your AI projects stall when it's time to scale? Traditionally, moving from a working prototype to a production-grade system meant months of rewriting code for incompatible SDKs and struggling with fragile handoffs between AI and real-time control. Join Qualcomm's Olivier Bloch at this year's Embedded Vision Summit to explore how Arduino VENTUNO Q finally removes this barrier: https://lnkd.in/eprVCq7W 

Tune in on May 18th to learn how to combine embedded Linux and containers to build for robust edge AI applications. Brought to you by Foundries.io and Edge Impulse engineers 🛠️

Most prototypes don’t fail. They stall at the handoffs. Arduino VENTUNO Q is a new on‑ramp into the Qualcomm Dragonwing ecosystem - bringing real‑time AI, production‑shaped compute, and a path that holds when projects move past the demo. Watch Marcello and David explain how teams are building with continuity in mind. #edgeai #embedded #iot