This white paper examines how building a system with a dissimilar redundant architecture can help overcome the challenges of meeting DO-254/178 DAL A requirements.

This white paper examines the key challenges multi-core processors present in safety-certifiable systems, and the traditional and newer, more effective techniques for alleviating them to ensure MCP-based systems will safely perform their intended functions.

Motion controllers are a vital building block in every motion control system, and several factors must be considered when choosing the right-sized motion controller for the application. In this white paper, we discuss those factors, including whether to buy or build.

Tensor cores are indispensable for performing the types of calculations needed for artificial intelligence (AI) and machine learning. The role of AI and machine learning in defense applications is on the rise, making tensor cores critical for defense.

Like humans, machines learn from experience. They make observations from inputs of images, text, or other data, and then look for patterns. After the machine runs through the mathematical layers, it learns to make better decisions based on the examples it was given.

Which is better for machine learning applications, 2nd Generation Intel Xeon Scalable Processors or NVIDIA’s T4? A head-to-head comparison helps explain whether you should choose a CPU or a GPU for your high-performance machine learning solution.

This white paper describes how modern AI technology can benefit the warfighter as embedded solutions at the network edge are deployed for military and aerospace platforms. Edge computing brings data storage and computation closer to where it's needed.

This white paper reviews popular processor architectures to help you make an informed decision when defining your electronics payload.

This white paper explores the performance and SWaP benefits of multicore processors and their challenges in safety-critical applications, and how to overcome them.

This white paper discusses the terminology, applications, challenges, and technology enablers for machine learning, deep learning, and artificial intelligence (AI) in the embedded computing market.

Tactical advantage on the battlefield of the future will be based on trust and personnel will need a higher level of trust that all systems will work as needed in any situation.

When each component in the drive system is purpose-built for aiming and stabilization, integrated by experienced engineers, and proven in numerous field applications, system integrators can rest easy knowing their solutions will meet performance requirements