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 a CPU or a GPU is best for your high-performance ML solution.

The suite of open architecture industry and U.S. Army standards included in CMOSS enables the reduction of C4ISR system SWaP.

Newer on-vehicle integrated networks will be composed of heterogeneous networks in the form of software and equipment from multiple commercial vendors.

The use of artificial intelligence (AI) based machine learning technologies in autonomous vehicles is on the rise.

Military intelligence, surveillance, and reconnaissance (ISR) applications continue to make demands on signal-processing designers. Read about how Curtiss-Wright is enabling such performance.

Explore new deployed approaches for detecting threats to GPS and providing position, navigation, and timing (PNT) information to the warfighter in GPS-denied environments.

Curtiss-Wright is delivering its rugged, space-qualified data acquisition and network technologies for NASA’s Orion spacecraft and the Space Launch System (SLS).

To ensure that ground combat vehicles have the most reliable and accurate PNT data, the U.S. Army is advancing a Mounted Assured PNT System (MAPS) approach that enables warfighters to transition away from the use of less robust legacy GPS devices.