Component-based software helps you get a system working quickly, keep costs down, and reuse the most robust software from prior applications. This article presents methods for creating your own ...

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 ...

Automobile safety depends on the correct operation of software systems that are built from many different components. For good design, these components must be isolated, on multiple axes, so they ...

In previous articles, we looked at how to configure the kernel as well as the key components of an embedded operating system (OS). This new article focuses on the hardware components of embedded Linux ...

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 ...

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 ...

Enables manufacturers to build more secure products with lower total cost of ownership while complying with the European Union’s Cybersecurity Resilience Act (CRA) This platform combines essential ...

Any electronic system that uses a computer chip but is not a general-purpose desktop or laptop computer, tablet or smartphone. Embedded systems use microcontrollers (MCUs), microprocessors (MPUs) or ...

How can you cover all the bases for embedded systems security? This step-by-step guide takes you through best practices. Embedded systems security is an essential concern in the modern landscape.

In the world of embedded systems, the language debate is alive and well. For years, C has dominated this space, its minimalistic design and low-level control giving embedded engineers the tools to ...

Artificial-intelligence software, particularly deep-learning (DL) components, is currently the most advanced and economically feasible solution for achieving autonomous systems, such as autonomous ...