Until recently, the use of moving liquid to remove excess heat from embedded computing processors was considered an expensive and unreliable luxury, but escalating demand and maturing technologies finally are putting this technology within reach.

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.

The demo features PacStar’s IQ-Core Software network management software running on Curtiss-Wright rugged mission computers.

Curtiss-Wright, in collaboration with PacStar, will present a paper on “Managing Next Generation Open Standard Vehicle Electronics Architectures”.

As aircraft embedded systems grow in complexity and the aviation industry embraces hybrid electric power, new methods of cooling are emerging to resolve thermal management and overheating challenges.

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.

SWaP-optimized COTS-based Digital Beachhead VICTORY-compliant network switch adds Complementary Assured Position, Navigation and Timing (A-PNT) services to ease modernization of ground vehicles.