Certifying Multi-Core Processing Following AMC 20-193/AC 20-193 Objectives
This white paper examines the key challenges multi-core processors present in safety-certifiable systems, and the traditional and newer, more effective techniques for alleviating them to ensure MCP-based systems will safely perform their intended functions.
Accelerate Time to Market with Pre-Engineered Nano Motion Controllers
Motion controllers are a vital building block in every motion control system, and several factors must be considered when choosing the right-sized motion controller for the application. In this white paper, we discuss those factors, including whether to buy or build.
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.
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.
Reducing Risk and Accelerating Time to Market With Turret Aiming and Stabilization
When each component in the drive system is purpose-built for aiming and stabilization, integrated by experienced engineers, and proven in numerous field applications, system integrators can rest easy knowing their solutions will meet performance requirements