Embedded Computing Design

In this episode of the Embedded Insiders, Brandon and Rich discuss Silicon Laboratories recent divestiture of its infrastructure and automotive business units to SkyWorks Solutions. The sale includes the company’s power, isolation, broadcast, timing, and other products and IP. Silicon Labs CEO Tyson Tuttle said several years ago that the company is “all-in” on IoT, and this move appears to be him keeping his word. But was it the best move?

In part II of a three-part series, Allan Yang, the Chief Technology Officer of Advantech, joins to discuss whether the application defines and solves the problem, or has the IoT become a solution looking for a problem. I’m oversimplifying here, but check out this week’s Embedded Executives podcast to hear the details.

Is memory that’s aimed at a specific market really customized for that segment, or is it just marketing spiel? We have mobile memory, IoT memory, AI memory, and so on. Are they really different?

There’s no disputing that the amount of electronics within an automobile is growing at a staggering pace.

The Aetina Intelligent Management (AIM) framework simplifies the design and deployment of an AI platform that’s destined to reside at the Edge of the industrial IoT (IIoT). Based on NVIDIA Jetson GPU, AIM can handle the compute-intensive demands that are sure to come.

The term “size matters” definitely applies when it comes to power electronics.

InnovationLab is giving new meaning to printed electronics. The company is literally printing electronics, not like a typical PCB.

This week’s podcast guest, Johanna Pingel, a Product Manager at MathWorks, said that engineers should be concerned with the AI workflow.

EverFocus has created a series of products and hardware-software solutions using Intel’s AI technology. In this video, Gino Flores, Product Manager for EverFocus will review how these fit into Smart AI Transportation applications.

The race to develop Edge AI servers is on, and it’s a hotly contested race.

The e-commerce and online retail industries are experiencing exponential growth, resulting in more stringent demands being placed on logistics operations worldwide. Logistics companies and their suppliers are relying on automation more than ever to increase productivity and efficiency.

How do we transition from our historical lack of understanding about what’s going on under the hood of complex neural networks, and into an era of AI explainability around how these models operate?

We’ve defined AIoT on multiple occasions; it’s where AI intersects with the IoT. And for our purposes, it typically involves the Industrial IoT, aka IIoT.

A typical design goal is to maximize the operational efficiencies of your system. However, that likely includes designing systems around the latest GPUs, and that can be a daunting task.

During a recorded presentation from  embedded world 2021, Rich and Brandon are joined by Technology Editor Curt Schwaderer, who doubles as Vice President of Engineering at intelligence and security provider Yaana Technologies. The three discuss how the tech industry in particular and connected organizations in general have transitioned from protecting devices from attacks to accepting they will be hacked and mitigating losses to modern threat intelligence and modeling strategies. They then look at this evolution through the lens of employees, who are handling and working with sensitive information and IP, working from home.

The analysts all agree—the spend for AI hardware (and software) will be going through the roof in short order.

There’s been a shift in the security outlook, at least in my eyes.

Security is clearly in the spotlight these days, and for good reason—hacks continue on a regular basis.

When you’re looking for somebody with a bird’s eye view of the electronics industry, there aren’t too many people with a better handle on things than the CEO of Avnet, Phil Gallagher.

Even though Embedded World 2021 has gone digital, the opportunities for education are just as plentiful.