What parametric data regulatory bodies require flight data recorders (FDR) to store, how data is processed for FDRs, and what features FDRs need to meet future needs.

Aircraft operators are constantly looking for ways to reduce the size and weight of onboard avionics units. For many operators, a flight recorder (FR) is essential to meet regulatory requirements.

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.

One issue that fleet owners face for their older aircraft is the obsolescence of avionics systems. This paper presents different strategies for addressing this growing problem, including replacing obsolete line replaceable units (LRUs) using commercial off-the-shelf (COTS) products.

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

This white paper looks at the motivations behind introducing requirements for some form of flight recorders, what options are available and discusses what may be the best choice.

Operators of aircraft may find they need to upgrade existing FDRs for a variety of reasons.

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.

This white paper discusses the details of the requirements for an FDR, how they can be built and how Wi-Fi-enabled aircraft can be used to stream FDR data.