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.

As unmanned vehicles become more powerful and complex, their electronics payloads must adapt to match new mission objectives. This often forces aerospace and defense system integrators to push for reductions in size, weight, power, and cost (SWaP-C).

In the third paper in our series, we cover additional features of the Dolphin PCIe Fabric Communications Library that help minimizes latency, maximize system bandwidth, and optimize configuration flexibility.

In this second white paper in our two-part series, we present several different software interfaces provided for applications development, comparing their advantages and tradeoffs. Finally, we present performance benchmarks using a variety of Curtiss-Wright.

We introduce the use of fabrics for high-performance embedded systems and focus on the hardware and architectural options available to the systems designer.

TCG HUNTR software installed on a Parvus DuraCOR 8043 mission computer, displayed on a GVDU mission display, provides operators with a rugged, small form factor solution that can be used on the battlefield with minimal training and almost no expertise.

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.