Embedded Computing Design

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.