With faster processors, more functions, and higher bandwidth than ever before, today’s avionics are pushing the cooling technology envelope to the breaking point – and beyond.

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.

Curtiss-Wright and DDC-I Collaborate for First Live Demonstration of Deos DO-178 Level A RTOS on Safety-Certifiable Arm® V3-1703 Single Board Computer.

Until recently, the use of moving liquid to remove excess heat from embedded computing processors was considered an expensive and unreliable luxury, but escalating demand and maturing technologies finally are putting this technology within reach.

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.

Airbus aircraft links integration management system used in the demonstration is based on a safety certifiable rugged COTS processor system supplied by Curtiss-Wright.