These days it seems like every conversation in the Embedded space at some point turns to AI, and its utilities, possibilities, and capabilities. But all too frequently, those conversations start by categorizing AI as an application, when, in fact, AI is a unique technology that acts as an underlying enabler of applications. Let’s talk about why that is. 

In a highly connected world, there is a need for more intelligent and secure computation locally and preferably on the very devices that capture data, whether it be raw or compressed video, images, or voice. End markets continue to expect compute costs to trend down, at a time when computation demands are increasing, as is evident from recently popularized AI paradigms…

The lines between human capabilities and machine functions are being challenged and redrawn in exciting and extraordinary ways daily. AI technology, now having crossed an inflection point, has brought new legitimacy to the definition of heterogeneous compute, impacting system architectures ranging from resource-constrained devices at the edge to cloud servers. There is…