The CHAMP-XD4 features dual Intel Xeon D-2700 processors, and is for demanding intelligence, surveillance and reconnaissonce (ISR) system architectures.

Much of the innovation in high-performance embedded computing starts with microprocessors.

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

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.