When you think of all the resources available to embedded designers today, the most precious and scarce are always the same — time and money. The microprocessor suppliers who make the first hardware ...

Simulation modelling has emerged as a vital tool for understanding and managing the inherent complexity of numerous systems, from healthcare and manufacturing to logistics and business operations. By ...

An approach through Agile development and model quality simulation. The concept-development and acquisition communities have long treated artificial intelligence and machine learning (AI/ML) as ...

As 6G envisions the convergence of ultra-fast communications, integrated sensing, and native AI capabilities across diverse environments — including terrestrial, aerial, and satellite domains — ...

AMD’s Versal adaptive compute acceleration platform (ACAP) is a system-on-chip (SoC) device architecture (see figure 1) includes three groups of engines – scalar, adaptable, and intelligent – plus ...

Artificial intelligence and machine learning (AI/ML) are driving the development of next-generation radar perception. However, these AI/ML-based perception models require enough data to learn patterns ...

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 ...

Digital models, digital shadows, and digital twins help transform and optimize industrial and business operations. Digital twins are currently being used in several industries and organizations to ...

While reducing carbon emissions in aviation is a major challenge of today, leveraging electrification and fuel cell applications is the key solution in the field. From small electric aircraft, to ...

Vehicle platooning, first studied as an application of Intelligent Transportation Systems (ITS), is increasingly gaining ...