The goal of reducing the cost of equipping Army vehicles with new capabilities, while adding increasing interoperability and flexibility of operation, can be accomplished through the use of a Modular Open Systems Approach (MOSA), a technical and business strategy for designing an affordable and adaptable system.

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.

In this paper, we present performance testing results on Intel hybrid core processors, exploring the performance and efficiency of P-cores vs. E-cores and single-threaded cores vs. hyper-threading cores.

Systems designers must understand the latest enhancements in processing architectures to realize their multiple benefits. The newest multi-core and hybrid-core processors offer enhanced capabilities, including increased processing power and efficiency.

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.

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.

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.

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.

This essential guide describes MOSA's significance for defense technology and the roles standards like SOSA, CMFF, CMOSS, VICTORY, GVA, and FACE play.

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.