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.
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Embedded Executive: The Same Level of Security Is Needed Whether You Have One Device or Millions | Infineon and CommScope
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.
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Embedded Executive: Move AI to the Endpoint | Ambiq
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.
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Embedded Executive: Manual Vs. Automated Code Generation | TeleCANesis
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.
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Embedded Executive: AI Is Hard. It’s OK To Ask For Help | CEVA
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.
Each week, Embedded Computing Design’s EVP Rich Nass speaks to an executive in the embedded industry to understand what’s happening with the latest products, standards, and trends. The frank discussions reveal the real, behind the scenes issues, so the design community knows what’s coming down the pike. Topics covered in artificial intelligence, machine learning, embedded systems, internet of things, industrial automation, automotive applications, open source and more.
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