The COTS Confidential Roundtable gathers experts from the defense electronics industry – from major prime contractors to defense component suppliers.

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

Will add leading supplier of U.S. Navy Ruggedized Shipboard Enclosures and Electronic Subsystems to the existing portfolio of U.S. naval fleet products and services for DoD maritime customers.

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

Curtiss-Wright will highlight a wide range of its products designed and manufactured at its Ottawa and Mississauga facilities.

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.