ADLINK Technology introduced the industry’s first embedded MXM-based graphics modules based on NVIDIA’s Turing architecture, to accelerate edge AI inference in SWaP-constrained applications.

Note: This is the third in a series of four blogs (and associated podcasts). In the first blog, I looked at what it means to be operating a platform at the edge of the AIoT, where designers should start the process, and what path they should take to develop those systems. In the second, I went through some of the subsystems that go into that AIoT platform, drilling down into the nuts and bolts.

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?

ADLINK announced a partnership with Altium to offer an automated SMARC carrier design process.

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?

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.