Whether looking for a modular, SFF LRU or a scalable VPX system designed to meet your program requirements, Curtiss-Wright computing systems are built rugged to perform optimally in the harshest deployed environments on land, in the air, or at sea.

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 video is a simple demonstration of the interoperability between the DuraCOR 8043 Mission Processor and the AVDU Mission Display.

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

The project involved upgrading their existing video system that helped provide situational awareness during the target towing process.

Video systems have been key to improving situational awareness on ground, air, and sea platforms for quite a few years now, giving operators critical visibility of their surroundings.

The rapid change in both sensor and video system technology in the last decade has pushed aircraft operators to evaluate their system architecture to maximize performance and reduce complexity and system weight.