Learn all about how you can master the Zephyr perimeter including DeviceTree, driver models and how they simplify hardware configuration, enabling portable firmware
Zephyr in Heterogeneous Edge Systems
With embedded WI-Fi, teams are discovering that moving from an endangered single-core mindset to a heterogeneous platform introduces a layer of integration risk to development bandwidth if not managed with extreme discipline
Zephyr RTOS and the EU Cyber Resilience Act: Truths About Compliance and the Competitive Edge
Stop compliance from being a burden and turn it into a competitive edge. Here's everything you need to know about the EU Cyber Resilience Act, your current Zephyr stack and any potential CRA gaps.
Tips for Optimizing AI Models for Tiny Devices
Tips for Optimizing AI Models for Tiny Devices And the hidden cost of not getting it right! What happens when a sensor deep in the Arctic must make a life-saving decision, but has no internet connection? Or when a medical wearable has to flag an abnormal heartbeat in real time, without sending data to the […]
Blog
February 11, 2026 Articles Past Events Reflections on The Year 2025 at embedUR #AI #StrategicPartnerships 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 […]
Toward a Unified Workflow for Edge AI Deployment
Building an AI model is one thing; delivering it to a constrained device and ensuring it runs reliably is a whole different beast. Learn how to create a single coherent workflow designed for edge deployment.
The Rat Race to MVP in Edge AI: Top 5 Bottlenecks in Edge AI Workflows & How to Overcome Them
Discover the top 5 pitfalls that derail AI-powered solutions, automation, and adoption to different industries and how you can avoid each one.
Optimizing TinyML with Neural Architecture Search: A Practical Guide for Edge AI
Deploying AI onto microcontrollers—known as TinyML—is akin to packing a symphony orchestra inside a wristwatch. Could Neural Architecture Search be the key to achieving this mammoth feat?
Facial Recognition at the Edge is Hard! Imagine it Done with embedUR
Facial recognition is exploding across devices—but deploying it to the edge is brutally hard. Learn why open-source fails, and how embedUR is the closest thing to plug-and-play!
How Neuromorphic Chips Could Redefine Edge AI Devices
Designed to replicate the structure and functionality of the human brain, we take a look at this groundbreaking advancement in computing - Neuromorphic chips










