The annual show for the embedded electronics supply chain showcased many innovations in edge AI and connected, intelligent systems that can perceive and act in real time.

In embedded applications that use neural networks (NNs) for classification tasks, it is important to not only minimize the power consumption of the NN calculation, but of the whole system.

With port speeds exceeding 100Gbps, route lookups that are fundamental to all routers have relied on ternary content addressable memories (TCAMs) to provide a lookup response within a clock cycle.

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 ...

Should you choose Linux or Windows for your next embedded project? Before you begin an embedded project, you have a number of choices to make. Some of these decisions about hardware will be ...