Successfully developing and launching an embedded system requires a wide range of skills in a variety of engineering disciplines. Every embedded systems development team needs knowledge in eight ...

Prepare for Safety-Critical Embedded Systems at MTU. When software lives inside machines, failure isn’t an inconvenience—it’s a safety, reliability, and security risk. From vehicles and aircraft to ...

This article first appeared in Builder AU Magazine. Writing software designed to be embedded in an appliance, phone, or some other real-world device is a growth area, but has its own set of challenges ...

The world today is buzzing with the potential that AI models like ChatGPT have to offer. The potential for AI to revolutionize how people work and play is staggering and, to some, a little scary. To ...

CAMPBELL, Calif.--(BUSINESS WIRE)--HCC Embedded, experts in software for securely storing and communicating embedded data, has added support for the Xilinx Zynq®-7000 All Programmable system-on-chip ...

What are the main issues behind the “painful” process of embedded-systems design? Shortages of resources, components, and talent plague the design process. How the instability of toolsets and driver ...

Enabling a closed-loop behavioral representation of a vehicle’s software and hardware systems for continuous validation throughout the product lifecycle. The rising intelligence and connectivity of ...

Writing software designed to be embedded in an appliance, phone, or some other real-world device is a growth area, but has its own set of challenges. This article first appeared in Builder Magazine.

There are many differences between some of today’s embedded systems andthose of days gone by, and some of the underlying changes havesignificant unexpected consequences. Perhaps the greatest change ...

One of the biggest dreams anyone has is to make a living doing what they love. For all hackers, makers, and DIYers with a passion for embedded systems, it may make sense initially to pursue embedded ...

In the world of embedded systems, it isn’t just the technology that continues to develop and evolve. The tools and the methods used to develop that technology are maturing and improving in tandem. In ...

Deep learning techniques such as convolutional neural networks (CNN) have significantly increased the accuracy—and therefore the adoption rate—of embedded vision for embedded systems. Starting with ...