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 ...

Overview: C and C++ remain the most important languages for fast, low-memory embedded devices. Newer languages like Rust and Python bring safety, simplicity, an ...

ByteSnap Design outlines predictions for 2026 and how it will mark a decisive transition for embedded and electronics.

The rule of thumb in embedded system design has been that addinghardware increases power demands. The careful use of hardwareaccelerators, however, inverts the rule: adding hardware can reducepower.

You might argue that the interface and abstraction will cost too much. That’s a misconception. An extra function call won't ...

How embedded AI hardware reliability is handled in the defense and aerospace fields. How that reliability is assured and tested. With artificial intelligence progressing into areas as diverse as ...

This online engineering specialization will help you gain proficiency in creating prototypes or products for a variety of applications using Field Programmable Gate Arrays (FPGAs). You will cover a ...

ECEN 5613 is a 3 credit hour course and is the first course in CU's Professional Certificate in Embedded Systems. It is one of the Embedded Systems Engineering program core courses and provides an ...

One of the biggest bottlenecks in the software development process for electronic products is that hardware is not available until late in the cycle. That means embedded software developers need to ...

One of the last things the Linux kernel does during system boot is mount the root filesystem. The Linux kernel dictates no filesystem structure, but user space applications expect to find files with ...

As embedded and IoT systems grow more connected and critical, their security risks extend well beyond traditional software ...

Analytics-driven embedded systems bring analytics to embedded applications, moving many of the functions found in cloud-based, big-data analytics to the source of data. This allows for more efficient ...