Embedded Computing Design

Machine learning inference, video processing, and edge networking workloads are built on ultra-reliable data transfer capabilities, be it on chip between memory and logic elements or off chip to peripherals or other devices. Requirements vary by application and even function, making flexibility in processing performance and power consumption, memory operations, and interconnect support foundational to the success of any embedded edge system.

On this episode of Embedded Insiders, Julie Robinson, Director of Product Management at Rockwell Automation, gives us an introduction of the company’s recently announced FactoryTalk Design Hub, a software hub designed to ease and accelerate cross collaboration and productivity for automation design teams.

Next-generation technologies like AI are constantly changing the way we see the world, which can be taken quite literally when it comes to vision systems like network video recorders (NVRs) that utilize AI software to connect to the cloud and perform video analytics.

How to stream digital audio is one of the first design decisions you’ll make when creating speakers, headsets, stereos, microphones, musical instruments, and too many other consumer electronic devices to mention. And if you don’t want to incur the cost and complexity of going wireless, your best bet is probably to take audio streaming over the wire using one of the most popular interfaces out there: USB.

Embedded Computing Design's bi-annual Best-in-Show at electronica reviews solutions on display at the conference based on Design Excellence, Relative Performance, and Market Impact/Disruption.

Today’s emerging AI, IoT, and 5G technologies increasingly demand vast amounts of data and high-performance compute in order to reliably and efficiently operate in the environments they’re deployed in.

On this episode of Embedded Insiders, we’re speaking with Tom Burke, Global Strategic Advisor for the CC-Link Partner Association (CLPA) about the CC-Link IE TSN, the latest open industrial network TSN that enables deterministic communication on a single network architecture.
 

Human-machine interfaces (HMIs) in factory automation spaces may not be the first application you think of when you imagine a rugged factory solution, but they are the key to ensuring the smooth communication and reliable operation between industrial computer solutions and the individuals within these environments that use them.

Most members of our embedded community are familiar with the term SaaS, which stands for Software as a Service. Since that moniker became mainstream, more “aaS” terms have come up. One that’s gaining in popularity lately is RaaS, which stands for Robotics as a Service.

Mobility solutions have revolutionized many healthcare, retail, and factory automation functions by allowing workers to move freely within the workspace while keeping management, control, and analytics at their fingertips. But especially in demanding environmental conditions or use cases that require extreme performance, security, or both, standard consumer tablets struggle to answer the call.

On this episode of Embedded Insiders, we’re joined by Paul Butcher, Senior Software Engineer at AdaCore, to discuss how AI can make fuzz testing even more robust through the integration of techniques like symbolic execution and input-to-state correspondence that optimize test data sets against scenarios a system might encounter in the real world

There are many challenges that come with AI testing in safety-critical applications, as well as a variety of processes that can be used to find and fix security vulnerabilities using AI. We interviewed Paul Butcher, Senior Software Engineer at AdaCore Ltd, to discuss the most common security vulnerabilities impacting today's developers when integrating AI and ML in testing processes like fuzz testing, and what solutions AdaCore provides to help combat these concerns.

The latest buzzword term in our industry, end-to-end management, has a lot to do with following the flow of a project from beginning to end. There’s been software available for decades to manage that process, but for the most part, it relies completely on the humans to do the work. The software simply tracks the progress and allows lots of different groups and individuals in global and remote locations to interact with the project.

Autonomous machines and robots, smart inspection, smart security, and other embedded IoT applications heavily rely on advanced AI, high-speed connectivity, and advanced analytics. To expand the operations performed by these applications there are components that can provide an expansion of capabilities depending on the application you choose to build.

PICMG’s ModBlox7 is modular hardware standard designed to help regulate Box PCs. In this Q & A, we’re featuring Chief Product Officer at Ci4Rail, Mathias Beer, to discuss the standard, it’s impact on electronics engineering industry, and the how it provides the flexibility, modularization, and miniaturization needed by the market.

If you’re looking to accelerate the development of your embedded applications with an off-the-shelf solution that will enable fast deployment and is designed for rugged, compact, and functional operation, you might want to choose the highly integrated, scalable, and widely used computer-on-module (COM) standard capable of supporting small-scale to large-scale applications.

On this episode of Embedded Insiders, we’re joined by Liron Ben Horin, VP of Systems Engineering at OneLayer, to discuss the security vulnerabilities affecting devices connected through 5G and LTE in manufacturing environments, and how OneLayer, a company providing enterprise-grade security to private LTE/5G networks, can help.