Modern flight test programs generate huge amounts of data that require interrogation to investigate phenomena and ascertain program status as well as for use in final reporting.

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 case study describes how a space vehicle designer was able to rapidly implement a system to collect all of the data from onboard computers and accommodate late changes to requirements.

This white paper discusses the problem of inefficient maintenance, lack of access to the right data, and how aircraft can be retrofitted with instrumentation to more quickly identify impending failures, rapidly repair them, and minimize aircraft downtime.

This case study describes how an operator of a 5th generation fighter found room to install aircraft monitoring instrumentation to help examine performance and rapidly identify any future issues.