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.

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

Paul Hart discusses the latest EASA regulations for cybersecurity and DO-326A Airworthiness Security Process Specifications.

Swati Ketkar @ MRO Business Today interviews Chris Thomson of Curtiss-Wright about how predictive maintenance is changing the world of avionics.

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.

Paul Cook, Russell Moore, and Patrick Quinn at the International Telemetering Conference (ITC) showcasing our expanded line of Aerospace Instrumentation.

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