The FCC keeps changing things, so consider utilizing tri-band transmitters to help facilitate the move to C-band technology.

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 commercial and military aircraft production is preceded by extensive flight tests to prove the performance of the aircraft and its sub-systems.

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

The company’s Aerospace Instrumentation group presented its system-level flight test instrumentation (FTI) to hundreds of delegates at this year’s show.

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

Featured products will include ultra-small form factor mission computers and network switches, rugged high capacity storage solutions - such as the Data Transport System, and size, weight, and power (SWaP)-optimized embedded avionics systems - such as the ultra-lightweight Fortress Crash Protected Recorder.

Curtiss-Wright introduces the first 10GbE line-rate data recorder for flight test instrumentation applications.