Used for intelligent video analysis, computer vision, robotics, and autonomous driving, Nvidia also added an industrial variant of the Jetson AGX Xavier for harsh environmental conditions.

Here’s a fact that won’t shock you—the automotive industry is in the midst of a huge transformation thanks to AI technology. Here’s another fact that won’t be a surprise—NVIDIA is smack in the middle of that transformation.

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?

AAEON announced the release of the BOXER-8253AI, its newest lineup of compact rugged platforms powered by the NVIDIA Jetson Xavier NX SoC.

OmniVision announced at the NVIDIA GPU Technology Conference (GTC) that it has officially joined the NVIDIA DRIVE autonomous vehicle development ecosystem

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.

A key technology behind AI at the Edge is the GPU. Harnessing the complexity of the GPU for applications like inferencing is not something that’s easily digestible for the novice engineer. That’s where folks like Lanner come into play. With the company’s Edge AI Appliance LEC-2290 system, engineers can focus on the specific application without having to deal with the underlying hardware.