The military advantage of drone swarms – massed intelligence, surveillance, and reconnaissance (ISR), coordinated electronic warfare, and saturation attacks – is undeniable.

Using the same cable for both power and data means that power can be delivered to devices without having to wire new circuits or requiring a separate transformer that converts AC power to DC.

The rapid proliferation of Unmanned Vehicles (UVs) across defense domains is revolutionizing military operations, delivering unprecedented capabilities in intelligence, surveillance, reconnaissance (ISR), precision strike, and logistics.

Aircraft operators increasingly want more information from flights to help plan preventative maintenance, 
schedule inspections, provide oversight of crew operations, and identify problem patterns and trends

Advances in autonomy, sensing, and communications have enabled smaller, affordable platforms to perform missions once limited to larger, expensive enduring systems.

This white paper discusses the terminology, applications, challenges, and technology enablers for machine learning, deep learning, and artificial intelligence (AI) in the embedded computing market.

The goal of post-quantum cryptography is to develop cryptographic systems that are secure and can interoperate with existing communications protocols and networks.

Explore strategies for protecting classified data through encryption and considerations for choosing a data-at-rest encryption approach.

In the world of security and Trusted Computing, many different disciplines are involved, from cybersecurity to safety certification. When considering certification or certified products, it can be difficult to understand what certifications are applicable for your end use.

For decades, the flight test industry has relied on localized mission control rooms, where engineers and subject matter experts gather to analyze real-time data from an aircraft. However, the increasing need for interfacility cooperation and the global nature of modern aerospace programs have driven a demand for more flexible, distributed solutions.

Data-in-motion, also called data-in-transit, is the digital information transferred between locations within or between network computer systems.

Edge artificial intelligence (AI) enables local, real-time analysis at the point of need without relying on vast data center resources and constant connection to cloud systems.