Edge AI Model Licensing for Embedded Products: Where Is Your Value? Every smart device has a trained model inside it somewhere. The model is the part that recognizes a face, hears a wake word, or notices that a machine is vibrating in a way it should not. And every one of those models arrived in […]
RF Coexistence in Multi-Radio Embedded Devices: Why Your BLE Stack Drops When Wi-Fi Gets Busy
Discover how shared radio creates an arbitration problem that bench testing rarely catches, and what's changing as edge AI adds a new source of radio demand.
6 Real-World Vision Projects You Can Build on Fusion Studio
This post highlights six AI Vision projects that can be built on Fusion Studio. Each project is realistic, locally adaptable, and suitable for lightweight systems.
A Wearable Voice: Designing AI That Detects Pain and Distress For Non-verbal Patients
Even with constant attention and care for people who can't easily communicate, silent suffering still slips through. Here's how medical-grade AI-powered wearables can help give your loved ones a voice.
Diagnosing the Shift: Product Intelligence Has Moved On-Device
Discover the new intelligence boundary as decision-making has moved closer to the point of action.
Running AI on the Edge: A Practical Look at Getting Models to Work on Real Devices
Faster responses, better privacy, and no internet demands, there's no doubt that running AI at the Edge (on-device) is the future. The caveat - moving a powerful training computer onto a tiny, power-limited chip.
Reflections on The Year 2025 at embedUR
Take a walk down memory lane and see how we've transformed the landscape of Physical AI from boardroom vision to a global reality in 2025 - a definitive landmark in the history of embedUR!
Reimagining Road Safety with AI and IoT: How Smart Intersections and V2X Can Prevent Festive-Season Crashes
Nearly 40,000 people die on U.S. roads each year, and roughly one in four traffic fatalities is attributed to intersections. Could smart intersections be the solution?
Physical AI in Practice: A Three-Layer Stack for Real-World Robots
Humanoids need Edge-first AI autonomy since robots are judged by guarantees, not intentions. Guarantees are easier when the brain stays close to the body.
Fusion Studio: The New Edge AI Developer Stack
Discover how embedUR has been building intelligence that powers millions of connected devices since 2004 and their newest kid on the block - Fusion Studio











