MRAM memory design stores code and data in one chip, enabling boot, updates, and storage for AI, automotive, and more.

Leading-edge processor and IP solutions address speed and processing requirements for AI, vehicles, and other high-end uses.

A new embedded computing platform integrates a CPU, GPU, and NPU to accelerate industrial AI workloads at the edge.

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 ...

New capabilities let engineers build scalable, synchronized multiboard systems with dramatically faster data throughput ...

The Nvidia DGX Station GB300 AI workstation, announced some time ago, could be one of the first systems with replaceable SOCAMM2 memory. Nvidia may also use SOCAMM2 for its upcoming ARM processor Vera ...

What does the phrase Internet of Things mean? It depends a lot on where you stand in the supply chain. Many have tried to define it, but the definitions are often colored by the needs of their own ...

Embedded systems are ubiquitous in our daily lives, from medical devices to automotive systems to smart homes, yet the most popular embedded programming language poses significant safety and security ...

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 ...

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.

Embedded systems are increasingly prevalent in nearly every aspect of human life. Innovations made possible by embedded systems are making our lives healthier, safer, cleaner, and more stimulating.