The advent of unmanned systems reflects a huge aspect of warfare – that of protecting the warfighter – through the development of platforms that can be operated by humans from a distance, keeping them out of harm’s way.

As the U.S. Navy increases its investment in its fleet of unmanned undersea vehicles (UUV), suppliers of rugged commercial-off-the-shelf (COTS) subsystems, providing solutions for mission computers, network switches, and routers, and data storage are meeting the needs of these unique platforms.

Military experts are developing new enabling technologies to help unmanned aircraft, ground vehicles, submarines, and surface vessels swarm and make decisions without human intervention.

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.

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.

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.

The magic of tensors comes from their special transformational properties that enable them to describe the same physics in all reference frames.

This column will focus on frameworks that work with NVIDIA’s TensorRT, a tool for deploying high-­performance deep neural networks.