AI is a technology that generally requires a significant amount of power and high compute performance. Hence, it’s typically relegated to the Cloud or to an Edge-based computer.

Performing AI at the endpoint has not been feasible for those reasons. With ambiq’s Sub-threshold Power Optimized technology (SPOT), performing AI at the endpoint is a reality. And the doors/applications that it opens are extremely cool.

Hear more about it in this week’s Embedded Executives podcast, where I spoke to Ambiq’s Vice President of AI, Carlos Morales. Note that Ambiq just recently released the latest version of neuralSPOT, which now includes key performance enhancements specific to the company’s Apollo5 family, amongst other features, some of which are specific to AI development.

We’ve done podcasts in the past that discussed automating your code documentation. But we haven’t touched much on automating the code generation itself until now.

On this week’s Embedded Executives podcast, I spoke to Jonathan Hacker, the Founder and CTO of TeleCANesis, and that’s exactly what they do. We got into the issues of why automated coding is better than manual coding. Then we had a very interesting discussion about why you shouldn’t consider AI for code generation, at least not yet.

Designing a device that incorporates AI can be daunting, for a good reason—it’s very complex. When you push that design out to the Edge, it brings in even more challenges, both on the hardware and software sides of the equation.

To understand what these challenges are and where a designer can turn for help, I spoke to Amir Panush, the CEO of CEVA, on this week’s Embedded Executives podcast. He addresses these issues on a regular basis and has a good understanding of what a designer needs to know.