This paper describes strategies for encrypting data at rest and in motion, with a particular emphasis on encrypting telemetry data for applications such as flight tests.

The Telemetry Network Standard (TmNS), was recently released in IRIG 106-19. This white paper presents an overview of TmNS and compares it to the 5G alternative.

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 looks at the early developments in electromagnetic theory and electronics (the 1800s to 1960s) and the modern era of electronics (1960s to present). It discusses the current technologies finding their way into modern transmitters.

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

To support the demand for Internet access by smartphones, tablets, and other mobile devices, the U.S. Government auction for airwaves saw the standard telemetry frequency bands reassigned for mobile broadband use. Despite this development, the transition

This white paper examines how the use of modern transponders can reduce setup time, lower costs, and require less future planning and maintenance than traditional designs.

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.

Space and weight are key factors in designing, mounting, and installing data acquisition systems on UAV and missile development programs. Pat Quinn discusses an integrated and expandable solution.