This white paper discusses different touch screen technologies and why now is the right time for aerospace and defense organizations to evolve to smartphone like touch screens.
The key to increasing situational awareness for today's ground combat vehicles is in designing a video management system that reduces latency from end to end.
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.
This white paper helps systems integrators and end users explore some of the key networking capabilities available in modern Ethernet switches and router systems designed to support intra- and inter-vehicle/aircraft network architectures.
Initially intended to connect computers on local networks, Ethernet applications now range from global telecommunications and super-computing to industrial automation and avionics.
This white paper looks at how using complementary PNT technologies that leverage proven and trusted techniques to arrive at an A-PNT truth can protect personnel and equipment in the field.
Typically, military, and civil ground vehicle and aircraft platforms have unique technical and platform I/O interface requirements that make finding a suitable COTS computing solution to meet 100% of their requirements very unlikely. In this white paper, we talk about the key to...
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 you should choose a CPU or a GPU for your high-performance machine learning solution.
For many aircraft, there is sufficient space to place data acquisition units (DAU), recorders, and transmitters in a dedicated instrumentation rack and/or throughout the aircraft. However, there are several aircraft where there is a very limited amount of space available to install any...
This white paper provides an objective, practical, and unbiased comparison between Type 1 encryption and Commercial Solutions for Classified (CSfC) encryption approaches used to encrypt data-at-rest (DAR).