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.

New GPGPU modules expand Curtiss-Wright’s family of high-performance embedded computing (HPEC) processors for artificial intelligence (AI) applications.

VME-1910 SBC brings the highest performance multi-core processing and advanced security features to legacy VME systems.

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

The demo features L3Harris’s FliteScene® Digital Moving Map Software, Green Hills Software INTEGRITY-178® tuMP RTOS, and Curtiss-Wright Single Board Computers and Graphics Modules.

A combination of Curtiss-Wright’s CHAMP-XD1 processor module and General Dynamics Mission Systems’ SignalEye software uses machine learning to detect threats in the RF spectrum.

Curtiss-Wright Defense Solutions Sponsors the 2018 Intel Federal Summit

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