New efficient approaches to cabinet and console design, fabrication, integration, and qualification is enabling prime defense contractors to equip the Navy faster with better technology while increasing ROI.

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.

At Curtiss-Wright, we have a long heritage of designing, building, testing, and qualifying modern Naval enclosure systems that house and protect mission-critical systems from the most formidable operational environments.

Curtiss-Wright’s approach to enclosure construction and system integration leverages the efficiency of reusing proven technology building blocks that make electronics installation faster and more cost-effective.

With design and manufacturing centers of excellence in seven states, and engineers, sales and support teams across the U.S., Curtiss-Wright Defense Solutions is uniquely positioned to address the most challenging electronics, packaging, and systems challenges.

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.

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.