Artificial Intelligence

Many of our embedded sensor processing solutions support built-in MOTS+ for extreme ruggedness and BuiltSECURE nation-state level systems security engineering.

Scaling and deploying composable data center capabilities across the fog and edge layers with high performance embedded edge computing (HPEEC).

This white paper describes AI and cognitive computing (CC) and introduces the underlying largely commercially developer IP that enables them.

The real-time processing of data requires fastest FPGA devices and multicore processors. These devices cannot provide peak performance without highly dense and high-speed DDR4 and DDR5 memory.

Learn how commercial open computing strategies used by social media giants and advanced manufacturing practices employed by the automotive and logistics industries can be leveraged by the Navy.

Commercial digital convergence has created converged media, information systems, smartphones and autonomous vehicles. Digital convergence now has a proven roadmap behind it and is enabling...

From the proliferation of smart phones to the introduction of self-driving cars, the last decade has brought sweeping technological advances across all industries.

To handle extreme workload, system architects must design boards using the fastest FPGA devices & Intel multicore processors. These devices cannot provide peak performance with high-speed DDR4 memory.

Learn about the history of VME and how Modular Open System Architecture (MOSA) compliant systems with robust COTS modules are scalable, extensible, available and serviceable for military platforms.

Our approach to building products for enhanced durability under extreme environmental conditions, including repeated temperature cycling over wide temperature ranges.

At a high level, the vast majority of contemporary compute processing hardware may be divided into two domains: powerful data center processors and smaller, embedded devices.