The Embedded Computing Design editorial staff is pleased to present this year’s embedded world Best-in-Show nominees in the Microcontrollers, Microprocessors, & IP category:

Embedded Computing Design’s Road to Embedded World will highlight a host of embedded suppliers who will be showcasing their latest products and technologies at Embedded World, April 9th to 11th in Nuremberg, Germany. Embedded World is the largest global gathering of its kind. Check back regularly to see where the Road to Embedded World takes us.

Attend this three-hour training session, and literally walk away with the latest hardware and software to serve as the foundation of your Edge AI application. Work with AI-native Edge-AI compute solutions and be among the first developers to use the Synaptics Reference Developer Kit, which offers you a chance to get ahead of the curve in a classroom environment. You’ll be trained on the tools that enable real-world AI capabilities to be deployed on your Edge AI application.

Admit it—you’re confused by all the “information” that’s circulating regarding how to design a system with AI. The first thing that must be clear is this: you are not designing an AI system.

Welcome to Part II of this two-part blog. In Part I, I explained why AI is the enabler to an application, and not an application unto itself. This is a fairly common misconception, especially as AI is such a new technology.

If you took a general poll in the embedded space and asked, “What’s currently the hottest application,” a majority of the responses would be AI. However, that response would be inaccurate because AI (or its subset machine learning) is not an application. It may be the means to some other application, but on its own, it’s a technology.

Winners have been chosen based on a 15-point rubric that considers solutions’ Design Excellence (5 points), Relative Performance (5 points), and Market Impact/Disruption (5 points).