Compilers and ADAS aren’t often used in the same sentence. For developers, that anomaly can represent a design challenge, as compilers in general are not designed for this particular application, which also happens to be at the top of the safety and security checklist.

To understand how these compilers should be tested and implemented, I spoke to Sjoerd van der Zwaan, the Chief Product Officer at Solid Sands, on this week’s Embedded Executives podcast.

Sjoerd explains how and why compilers for ADAS are different from general compilers, and why you need to run your compiler through an appropriate series of tests to ensure compatibility.

AI at the endpoint gets yet another boost from EMASS, a fabless semiconductor company that recently emerged from stealth mode.

Having your processing at the endpoint presents a few significant challenges, namely the amount of processing that can be made available and the ability to run from a battery. EMASS has come up with a way to do this a little differently from what’s been done previously. They can attach their RISC-V processing element to any sensor, making the device an AI accelerator. It’s a little difficult for me to put into words here, so check out this week’s Embedded Executives podcast, where I spent some time with Mark Goranson, EMASS’s CEO, who explains it in detail.

No matter what your end device is, be it a light bulb or a driver’s license, it needs to be secure. I don’t think we need to go through the reasons why it needs to be secure. How you do that is becoming increasingly more difficult. And you may be looking at protecting millions of devices, where each one needs its own unique identity.

To get a handle on how you would do this, at least where you would begin this daunting task, I spoke to two experts: Patrick Carrier, a Manager for Secure Solutions at Infineon, and Xin Qiu, the Head of Security Solutions at CommScope.

On this week’s Embedded Executives podcast, they lay out the need and then the process a developer would follow.

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.

Silicon Labs recently announced an MCU that has achieved the highest level of security possible to date, which is PSA Level 4. The questions you may be asking are, “What does that mean, and is this something I need to understand?”

To get answers to these questions and many related ones, I spoke to Sharon Hagi, the Chief Security Officer at Silicon Labs, on this week’s Embedded Executives podcast. You may be surprised by his responses, that not every design needs this level of security.

We’re in the era of quantum computing. That brings with it a lot of great things. But at the same time, it brings some not so good things. Once again, we’re in a race to stay ahead of the bad guys to keep our systems secure.

Folks like the experts at Infineon are doing what they can to do just that. And the best part is that they are trying to insulate their customers from having to deal with all the different measures that must be put in place.

Hear from Eric Wood, Infineon’s Senior Director of Microcontroller Cryptography and Product Security, to see if this sounds like a fit for your design. Check out this week’s Embedded Executives podcast to learn more.