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.
5 Times Software Sold the Device in 2025 (Even When Hardware Had Flaws)
Missing components, awkward tradeoffs, experimental form factors; yet people still bought these products anyway. The reason: the software delivered all of the value!
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.
Staff Augmentation, Dedicated Teams, or Outsourcing: Choosing the Right Model for Embedded AI and Smart Device Projects
Building smart devices? Discover the differences between hiring dedicated teams and outsourcing as well as how choosing the right one can accelerate time market.
The 5 Decisions That Make or Break an Edge Device Before It Ships
At embedUR, we’ve helped turn plenty of Edge device prototypes into field-ready products. We’ve also seen where projects go wrong. These five decisions come up every time.
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 […]
How Sustainable are YOUR AI Products?
The Carbon Cost of Convenience: Can Edge AI Save Us? How Sustainable are YOUR AI Products? Every cloud request carries an invisible environmental price—not just financial, but ecological. Data centers, the engines driving our digital lives, consume more electricity than some entire nations. In 2024 alone, AI workloads accounted for up to 15% of global […]
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?
Talking Without Borders: The Rise of Real-Time AI Translation at the Edge
Discover how Edge AI is transforming communications in 2025 by powering real-time translation, fostering global connections, and boosting customer satisfaction for businesses.