Arduino

A little maker milestone worth celebrating!🤖💙 JBR-001 reached #1 on Hacker News in Show HN!🚀 A huge thank you to everyone in the maker, robotics and open-source communities who upvoted, commented, shared feedback, asked questions and simply took the time to check out what we built. JBR-001 started as an idea to make robotics, computer vision and Edge AI more tangible and fun to explore. Seeing this response from the community means a lot to our whole team. And a special thank you to Arduino for partnering with us on this project and helping us bring JBR-001 to makers around the world.💙 The best part? JBR-001 is open source, so this is really just the beginning. Build it. Modify it. Teach it something new. And please show us what you create! 🤖🔧 Thank you, makers! ❤️ HN: https://lnkd.in/eDmjvxJF Arduino Project Hub: https://lnkd.in/eMS3ZQ7Y #JBR001 #Arduino #OpenSource #Robotics #Makers #EdgeAI #ComputerVision #syntheticAIdata

The future of AI is physical. For years, AI has mostly lived in the cloud: processing information, generating answers, and helping us work faster. But the next chapter is different. It’s robots that understand their surroundings. Machines that make decisions in real time. Devices that can see, think, and act. That’s why we built the Arduino VENTUNO Q. Powered by Qualcomm Dragonwing IQ8 Series, VENTUNO Q brings powerful edge AI computing and real-time control together on a single platform. With a dual-brain architecture, developers can combine advanced AI workloads with precise hardware control, creating systems that don’t just interpret the world, but interact with it. VENTUNO Q is designed to make building intelligent machines faster, easier, and more accessible. The era of physical AI is beginning. And now, developers have the tools to build it. Check out this Arduino post for more 👉 https://lnkd.in/p/g4CG4BaA

AI agents don't just live on desktop screens anymore: they need to sense, move, and interact with the physical world. We broke down how embedded Linux boards and Physical AI are completely changing the economics of training and deploying AI agents at scale. Read our blog post to see how it works: https://lnkd.in/dM223jPg

Samuel Alexander built a portable device that runs a monocular depth model on the Arduino VENTUNO Q, turning an ordinary webcam into a multitool you can play with at 20 frames per second: https://lnkd.in/gncu9gjM

📢Apply now: join the DESIRE4EU & Arduino Workshop in Grenoble! Want to get hands-on with new approaches to more sustainable electronics? As part of the "Journées Scientifiques 2026" of GdR DEFIE (JSDEFIE 2026), DESIRE4EU and Arduino are organising a hands-on workshop in Grenoble on 17 December. The workshop is open to everyone, but students and early-career participants are especially welcome. No need to be a PCB expert, we're looking for curious people who want to test, experiment, and share their feedback. Two sessions will be available: 🔹Morning – Hands-on Workshop: Exploring the DESIRE4EU Sustainable PCB 🔹 Afternoon - You have the control: Doing Edge AI with the Arduino UNO Q 🔹Or join both! The goal? Try the boards, explore the documentation, share your experience, and help us understand how these new approaches to sustainable electronics work in practice. 📅 17 December 2026 📍 Grenoble, France 30 places per session Travel and accommodation support may be available for eligible participants coming from outside the Grenoble region. 👉 Applications are open: s://https://lnkd.in/efjr4rGt Bring your curiosity, we'll provide the boards.🔋

"Twenty-one years ago, Arduino helped remove much of the fear factor associated with microcontrollers, allowing people who might never previously have contemplated embedded computing to start connecting LEDs, switches, motors, sensors, and goodness knows what else and making them do interesting things. Today, with VENTUNO Q, its dual-brain architecture, RPC, and—perhaps most importantly—App Lab, Arduino is attempting to pull off the same trick with Physical AI. I don’t know about you, but I’m already wondering what I could make myself." A great read from Clive (Max) Maxfield!