Hypersonic platforms provide a challenge for flight test campaigns due to the application’s flight profiles and environments.

TrustedCOTS™ and Enhanced Trusted COTS technologies use an OSA for embedding security, enabling customers to leverage S-SOTA technologies.

COTS products and open-architecture solutions for mission computing, signal processing, graphics, communication fabrics, system and sensing I/O, and data storage.

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.

A company that was developing their own hypersonic vehicle for use as a technology test bed wanted a flight test instrumentation (FTI), recording, and transmission system.

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 discusses the challenges faced by hypersonic vehicles and proposes how flight test instrumentation (FTI) can aid in overcoming the challenges.

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