To date, all embedded system manufacturers have legitimately acted in their interests when marketing their products. This market trend unnecessarily slowed down the normal flow of the sector while, on ...

QNX reaffirmed its commitment to making its high performance foundational software more broadly available for non-commercial use with a view to making embedded systems learning, experimentation and ...

Embedded systems have always been about squeezing every ounce of performance from limited hardware. From hand-optimized assembly to finely tuned C, we’ve spent years writing efficient code, minimizing ...

In this lesson, you will learn the main concepts behind event-driven programming, which, after object-oriented programming, is another fundamental stepping stone in understanding modern embedded ...

At the start of the year, I highlighted key trends in 5 Embedded Software Trends to Watch in 2024, predicting the forces shaping the industry. As the year unfolded, many of these trends indeed drove ...

Explore the core differences between embedded systems and robotics engineering. Understand their unique applications, fundamental concepts, and how these fields intersect and diverge in technology and ...

MCLEAN, Va.--(BUSINESS WIRE)--RunSafe Security, a pioneer of cyberhardening technology for embedded systems across critical infrastructure, today announced the release of its 2025 report, AI in ...

Like in nature, development tools for embedded systems form “ecosystems.” Some ecosystems are very self-contained, with little overlap on others, while other ecosystems are very open and broad with ...

AI is vying for circuit and embedded-system design jobs, but in 2025, it still requires a seasoned engineer to ride shotgun. Insight into AI and its use as a tool to design circuits and embedded ...

The quest for compatibility and portability is a perpetual challenge in embedded systems. While many systems today have adopted real-time operating systems (RTOS), each is unique and different enough ...

Smart meters are critical to modern energy infrastructure, enabling dynamic pricing, real-time analytics, and carbon accountability. Their effectiveness depends entirely on consistent data accuracy.