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.

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.

For use on Norwegian Army’s WiSENT 2 Armored Recovery Vehicle program.

Under the contract, Curtiss-Wright will provide the customer with its AVDU5500 21.5" LCD touchscreen mission display, VRDV7000 dual-channel HD-SDI video recorder, and IUPC8012-03 interface unit.

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 boosts flexibility, usability, and reliability of AVDU rugged touchscreen displays with software upgrades.