Enabling AI & Machine Learning: The Role of Tensor Cores
Tensor cores are indispensable for performing the types of calculations needed for artificial intelligence (AI) and machine learning. The role of AI and machine learning in defense applications is on the rise, making tensor cores critical for defense.
How Can I Teach My Machine to Learn
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.
Leveraging a Modular Open Systems Approach (MOSA) for Modified COTS
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,
Enabling AI at the Network Edge of the Battlefield
This white paper describes how modern AI technology can benefit the warfighter as embedded solutions at the network edge are deployed for military and aerospace platforms. Edge computing brings data storage and computation closer to where it's needed.
Partnering to Reduce Risk and Accelerate Development
This white paper discusses using a joint approach to an increasingly challenging marketplace; system integrators and vendors have new opportunities to win more business, increase customer satisfaction, and strengthen their financial position.
Consolidate LRUs While Considering Strict SWaP Constraints
Despite the current budget woes of defense departments, the demand continues for delivering more performance and improved functionality from rugged computers and communications subsystems to fulfill mission requirements.
The Impact of Protecting I/O Interfaces on System Performance
A trusted computing system can ensure security at the potentially vulnerable entry points of system interfaces, yet this may compromise performance through design trade-offs that systems designers must compensate for.