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.

To lower the cost and help speed the pace of technology upgrades for command, control, computers, communications, cyber, intelligence, surveillance and reconnaissance (C5ISR) systems on Army vehicles – while supporting the U.S.

This paper aims to put MOSA (Modular Open Systems Approach) into perspective and enable you, whether a defense contractor, a decision-maker at the DoD, or a public policymaker, to put the increasingly relevant MOSA to use better.

There is a popular industry misconception that Intel processors draw more power than Power Architecture and Arm processors. This paper discusses how that is not the case.

The military and aerospace market maintains an insatiable appetite for smaller, lighter, and cheaper. Recent technological breakthroughs in SWaP-C reduction have yielded the introduction of USFF mission computer and networking systems.

Introducing your essential guide to all things MOSA, its significance for defense technology, and MOSA-supporting standards like SOSA, CMOSS, VICTORY, GVA, FACE, and OMS/UCI.

This white paper was presented at the 2021 NDIA Ground Vehicle Systems Engineering and Technology Symposium, Vehicle Electronics Architectures Technical Session, August 10-12, 2021.

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.

Typically, military, and civil ground vehicle and aircraft platforms have unique technical and platform I/O interface requirements that make finding a suitable COTS computing solution to meet 100% of their requirements very unlikely. In this white paper,

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.