Building connected and workable communications in remote environments presents unique challenges, but the right technology can keep users connected in even contested and harsh environments.

Protecting top-secret data on network attached storage with National Security Agency (NSA) approved encryption for military aircraft.

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.

This white paper helps systems integrators and end-users explore some of the key networking capabilities available in modern Ethernet switches and router systems designed to support intra- and inter-vehicle/aircraft network architectures.

The white paper discusses the various formats of Ethernet used in the embedded market as well as the copper and optical interface standards.

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.

Using the same cable for both power and data means that power can be delivered to devices without having to wire new circuits or requiring a separate transformer that converts AC power to DC.

Despite the current budget woes of defense departments, the demand continues for delivering more performance and improved functionality from rugged computers and communications subsystems to fulfill mission requirements.

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.