The latest generation of unmanned vehicles operating on land, in the air, and at sea no longer simply are remotely operated. These advanced systems have built-in intelligence to learn from their experiences and make their own decisions.

Industry experts say open standards are helping drive development in small-form-factor battlefield and aerospace hardware like system-on-chip and single-board computers.

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

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.

Newer on-vehicle integrated networks will be composed of heterogeneous networks in the form of software and equipment from multiple commercial vendors.

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

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.