Military threats are accelerating at machine speed, so military forces are adding artificial intelligence (AI) and machine learning to their arsenals of sensor, signal, and image processing to analyze vast streams of data in real time.

Network-attached storage (NAS) systems for mission-critical applications often rely on a redundant array of independent disk (RAID) configurations to mitigate data loss from disk failures, improve data throughput speed, and maximize storage efficiency.

The U.S. Department of Defense (DoD) is investing heavily in airborne attritable systems as a cost-effective approach to project force and influence.

The Curtiss-Wright PacStar 453, VPX3-1262, and CHAMP-XD4 rugged computers are examples of how CPU, GPU, and FPGA technology can be packaged for different edge applications and operating environments.

I am the Chief Technology Officer at Curtiss-Wright’s Defense Solutions Division and a Curtiss-Wright Technical Fellow. I joined with PacStar, now part of Curtiss-Wright Defense Solutions, over 16 years ago. During this time, I have supported the development of our rugged, tactical hardware and IQCore software.

Military and aerospace defense integrators, especially in the signal-processing application space, have typically turned to low-latency FPGA devices as coprocessors for signal-processing CPUs, forming the technical pillar for ingesting and processing massive amounts of time-critical radar and sensor data.

Hypersonic platforms provide a challenge for flight test campaigns due to the application's flight profiles and environments.

A recent military exercise in Germany trialled the interoperability of several tactical datalink and communications protocols used throughout NATO.