Top commanders seek to embed EW capability at virtually all echelons as warfighters seek to make up for years of lost time.

In order to keep up with the continued acceleration of new technology and to be able to protect the warfighter from the latest threats, it is essential that we can turn our deployed platforms into adaptable entities that can evolve over time and are not static. The SOSA [Sensor Open Systems Architecture] Technical Standard is the next major step in realizing this goal.

To exploit the potential benefits of new technologies such as artificial intelligence (AI), robotics, video analysis, Internet of Things (IoT), augmented reality and virtual reality, and other innovative technologies on mobile platforms at the tactical edge, Department of Defense (DoD) communications programs must effectively deploy advanced IT infrastructure, connectivity, and compute resources.

A panel on CMOSS at a U.S. Army Technical Exchange Meeting held earlier this year provided details on new developments underway and areas in which the Army is looking to industry for help in taking the suite of standards from prototype to deployment.

Curtiss-Wright honored with five Innovators Awards: three Gold for Parvus DuraMAR 6300, VPX3-673 Assured Position, Navigation and Timing (A-PNT) card, VME-1910 single board computer, and two Silver for ADSR-4003 Advanced Data Server and Recorder and GVDU LCD touchscreen Ground Vehicle Display Unit.

Size, weight, power consumption, and cooling technologies today block quantum computing from the embedded world, but new generations should yield advances in artificial intelligence and computer security.

Efficient execution is key to real-time mission-critical operating systems software, yet new demands are emerging such as safety-critical operations for avionics and other life-critical applications.

Like humans, machines learn from experience. They make observations from inputs of images, text, or other data, and then look for patterns. After the machine runs through the mathematical layers, it learns to make better decisions based on the examples it was given.