Designers of high-performance embedded computing modules and systems must understand the technical considerations required to realize the true benefits of 100G technology fully.

Curtiss-Wright has developed Fabric100, a complete end-to-end ecosystem that features 100 Gigabit Ethernet (GbE) connectivity between rugged OpenVPX modules and system components.

Curtiss-Wright has experience on a wide variety of platforms and missions using the same COTS equipment in both development and operational applications.

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.

An overview of Aerospace Instrumentation Space COTS products and their use in the development and operational flight for Space programs and instrumentation applications.

This is the workshop Fundamentals of FTI Imaging by Russell Moore.

High-definition and high-speed images and video are essential for many flight test, space, and monitoring applications.