Qualcomm Developer

Silicon to scale stack? Say less. If you’ve ever had something working on your desk but struggled to carry it forward without rewriting half the stack, this is the pattern Qualcomm Dragonwing aims to address. David and Suranjeeta touch on how teams keep the same foundations in place as projects move from early prototypes into real deployments — retail, industrial, and beyond. Head over to the developer blog for the full story: https://bit.ly/4u85cUr

Edge Impulse's yearly Imagine Innovators lands in Amsterdam on May 20. A full day of technical sessions focused on edge AI, robotics, AI agents, and efficient models - with speakers who are building and deploying today. Attend in person, or watch the livestream globally. Free to attend (we've heard they have great swag too!) 👉 Register now: https://bit.ly/4disfo9

Did you know the Windows on Snapdragon gaming white paper also has helpful information about performance tuning? Here’s just a snippet: On Windows on Snapdragon, teams typically combine: •Snapdragon Game Toolkit for platform guidance •Snapdragon Profiler for CPU/GPU insight •PIX for GPU and rendering analysis •Superluminal for CPU threading and hotspots The key isn’t using more tools. It’s knowing which question each tool answers. Read the white paper to pick the right tool for the decision you’re trying to make 👉 https://bit.ly/4uhySix

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.

By the time a device makes it to the factory floor, development hasn’t really stopped — it’s just entered a different phase. This part of the Qualcomm Dragonwing journey looks at what happens once fleets get large: securing devices, rolling updates, handling vulnerabilities, and keeping everything running without disrupting how teams already build. See how Foundries.io fits into that transition — starting from a prototype on your desk and carrying it all the way through production and long‑term operation. #iot #edgeai #OTAupdates

You don’t often get the chance to learn directly from the people who shaped a field. Tomorrow, Derrick is hosting a live AMA with Daniel Situnayake — co‑author of TinyML book and one of the people who helped turn machine learning on resource‑constrained devices into a real developer discipline. If you’re building or learning edge AI, this is a great opportunity to ask questions and hear the thinking behind TinyML, straight from the source. 👉 Join us live, May 5th at 7pm CET I 10 am PT: https://lnkd.in/dfbXjYcH

Learning how to move projects from prototype to production and some serious building blocks to win? Sign us up. 👉 Register here: https://lnkd.in/eK-czxFc

It’s finally here! The Qualcomm x Google #LiteRT on-device AI hackathon have begun! We can’t wait to see what you all build - remember to tag Qualcomm Developer when sharing your projects! 🔥 Google for Developers #ondeviceai

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