Cockpits featuring multifunction avionics, large touch screen displays, advanced communication systems, high performance/low consumption solutions, and artificial intelligence (AI) capabilities will be part of the future daily life of military pilots.

Certifying avionics software has been, is, and always will be a daunting, time-consuming task for avionics hardware and software designers. Thanks to advances in aircraft technology, modernized software, a shift in the programming languages used, and the emergence of artificial intelligence and machine learning (AI/ML) technology, certification continues to get more complex.

Military wireless networks in the military can be secured through the proven use of NSA-approved Commercial Solutions for Classified (CSfC) encryption. CSfC is a set of approved architectures using two layers of commercial encryption (as opposed to Type 1 military-only encryption) for access to classified networks.

Unmanned aerial vehicles (UAVs) are rapidly swarming modern battlespaces, growing in number as they shrink in size. They are meeting strict guidelines for reduced size, weight, and power (SWaP) even as their capabilities increase, packing payloads that include offensive ordnance, transmitters, receivers, cameras, and sensors.

The partnership between Curtiss-Wright and BAE Systems to develop a standardized Modular Open System Approach (MOSA) open architecture for next-generation ground vehicles is an example of how the benefits of MOSA-aligned open standards can be leveraged to deliver new capabilities to next-generation ground vehicles, such as the U.S. Army’s Optionally Manned Fighting Vehicle (OMFV).

Lynx Software Technologies and RTI have successfully worked together for over two decades, with a wide range of industry design wins and use cases. As we reflect back over those years, we have found three challenges our joint customers face that Lynx and RTI address, which when combined deliver immense benefits to the creators of connected mission-critical systems.

To help you and others in—or contemplating joining—the space and satellite industry, this report shares the results of a research study on current and future trends, a broad overview of industry analysis, advanced technologies in new designs that deliver vastly reduced cycle times. In addition, it also helps identify the drivers of this growth and acceleration, the enabling technology trends, and the pain points you will face along the way.

Predictive maintenance radar sensing is a key aspect of Industry 4.0, the fourth industrial revolution characterized by the integration of advanced technologies such as the Internet of Things (IoT), big data analytics, and artificial intelligence (AI). Predictive maintenance radar sensing, in combination with these other technologies, enables companies to move from a reactive to a proactive maintenance strategy, improving reliability and reducing downtime.