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.
Comparing CPUs and GPUs for Deep Learning and Artificial Intelligence
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.
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.
Choosing the Best Processor for the Job
This white paper reviews popular processor architectures to help you make an informed decision when defining your electronics payload.
Machine Learning and Artificial Intelligence in Defense and Aerospace Applications - What You Need to Know
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.
Intel Xeon D: A Significant Leap Forward in GPP Technology Across the Spectrum of Defense Applications
This white paper will explore the technology behind the Xeon D’s flexibility and how it can solve a diverse range of military and aerospace challenges.