Poised to reshape the global order, Artificial Intelligence (AI) is rapidly transforming the defense industry by broadening the scope of machine applications and leveling the playing field for nation states looking to gain power on the global stage
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Mercury Systems is partnering with Intel to develop high-performance, ruggedized, and secure edge computing solutions that enable mission-critical applications in the harshest environments.
White Paper: Selecting Optimal Avionic and Vetronic Displays for Your Application
This paper first discusses advanced capabilities that enhance LCD technology and then reviews business factors to consider when selecting or specifying display systems.
Discover how technologies developed by Mercury Systems and NVIDIA scale the best AI-enabling data center processing capabilities to the edge for real-time decision-making.
Editorial Podcast: MES deep dive on Pentek acquisition by Mercury Systems and radar/EW market trends
Military Embedded Systems interviews Rodger Hosking and Neal Austin from Mercury Systems about the Pentek acquisition and how it impacts Mercury's SOSA portfolio.
Handling AI, SIGINT or compute-heavy workloads that require moving data at real-time speeds? Learn about our all-new RES XR7 rugged rack servers with Intel’s latest 3rd gen Xeon Scalable processors.
Eliminate bottlenecks, process, store and move huge volumes of sensor data at 5G speeds and accelerate time to insight for all of your compute-hungry applications with RES XR7 rugged rack servers.
Case Study: JTS0100, Jammer Training System
Mercury extends EA jammer training system technology to a new platform in fewer than four months
In this webinar, you will learn how Mercury Systems, NVIDIA and SigmaX are securing machine learning for multi-domain operations with agile edge servers and cloud-native open software stacks.
PCIe Gen 4 technologies increase application efficiency by eliminating bottlenecks and increasing throughput for multi-domain, compute-intensive applications at the edge.
Article: Three Ways Mercury and SigmaX are Securing Machine Learning at the Edge with NVIDIA EGX
By utilizing the NVIDIA EGX edge AI platform for edge computing, coupled with open software stacks, machine learning (ML) data can be deployed and accelerated to retain operational advantage....
Blog: Bringing AI into the Defense Landscape
The inability to field the latest AI technologies at the pace of one’s adversaries often means the loss of tactical or operational advantages. Learn how Mercury’s open and modular design approach...
Developing and Adapting Mission-Critical Displays
Our mission-critical displays are engineered to deliver unparalleled performance across multiple domains, in the most extreme environments. Hear how Mercury uses LG technology to tackle challenges...
Taking the Data Center to the Edge with High-Performance Embedded Edge Computing
Data center GPU coprocessing for aerospace and defense: High-performance computing has evolved into high-performance embedded edge computing.
Webinar: Mission Critical Systems for Future Ground Combat Vehicles
Learn how Mercury delivers highly specialized AMLCDs to address the mission-critical needs of military vetronics by leveraging early development of extreme high-resolution from the medical industry.
Mercury, contracted by Airbus D&S is supplying processing subsystems as part of the EGNOS common computing platform.
Webinar: Computing in the Wild: How to Build Your Resilient Edge
AI processing capability remote from the data center is required for smarter and more autonomous aerospace and defense missions. See how Mercury Systems and Intel are working together to make edge pro
2:13Mercury's rugged edge servers accelerate compute-heavy mission-critical applications like artificial intelligence (AI), signals intelligence (SIGINT), virtualization and big data analytics.
Learn what big data is and why the military relies on big data data pipelines to drive artificial intelligence and ensure mission success in the multi-domain battlefield.
This white paper explains why OpenRFM can change the game in building modular, interoperable and affordable solutions within EW, EA and SIGINT.
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.