In the defense industry, AI is on the path to becoming a loyal companion to the warfighter and manufacturers alike. As technology progresses, so does the range of defense capabilities that AI could not only supplement but eventually manage.

Contested space, where nations compete for military dominance outside Earth’s atmosphere, is driving many military space platforms, but commercial space and small satellites continue to change the way the military suppliers of space electronics approach radiation-hardened component design from testing to deployment.

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.

Axon Data Acquisition System (DAS) used in test flights of Suborbital Technology Carrier-8 suborbital sounding rockets

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.

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

The fast growth of small satellites and their lower life cycle and launch costs has created a sizable market for low-cost electronic components that have radiation-resistant characteristics.

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 is working with NASA and aerospace leaders to return Americans to the Moon and send astronauts to Mars in the early 2030s