Mercury Systems develops and manufactures pre-integrated subsystems to help solve tough customer problems. The Anatomy of a Subsystem is our unique approach to combining critical capabilities in five key areas; Speed of performance, SWaP, Software capabilities, and security. The fifth “S” is our ability to pre-integrate Industry leading subsystems on behalf of our customers.
Closing this gap through investments in open systems, critical high-tech partnerships and open innovations, and building a collaborative culture in the spirit of how high-tech companies operate.
2:39Intel and Mercury Systems, two leaders of innovation with one shared vision; a safer more secure world.
This paper details the evaluation of Intel and ARM to determine who provides the greatest processing power, enough to deliver real time response and implement AI and ML; yet meet safety certification
49:10AI 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
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....
Discover how mission-critical solutions are evolving to manage the complexities introduced by high definition graphics and AI application demands to aerospace and defense applications.
Discover how powerful mission-computing and display solutions are addressing the challenges of future aerospace and defense applications.
Real-time insights derived from data can help find a lost child in a crowded city, ensure tornado warning sirens go off at 3 am, or move troops safely across borders.
Listen to the latest MercuryNOW podcast as we discuss the challenges for JADC2 implementation and the role Mercury is playing to help make it a reality – from data center processing at the edge to...
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...
2:13Mercury's rugged edge servers accelerate compute-heavy mission-critical applications like artificial intelligence (AI), signals intelligence (SIGINT), virtualization and big data analytics.
The Department of Defense has shifted priorities as new threats emerge and the U.S. seeks to secure innovative solutions, placing advanced microelectronics at the forefront of its agenda.
Learn about building systems with GPUs and FPGAs including challenges, use cases, when to choose one over the other, and why they are crucial for Big Data Analytics and Machine Learning
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.
Data center GPU coprocessing for aerospace and defense: High-performance computing has evolved into high-performance embedded edge computing. The post Taking the Data Center to the Edge with...
By working at the chip level and leveraging new 2.5D system-in-package capabilities, designers can combine complex semiconductor dies into a single component while maintaining trust and security.
For the modern battlefield with hypersonic weapons, “real-time” answers enabled by 5G are critical. Learn the promises and pitfalls of 5G and how it can be made secure and reliable.
This paper first discusses advanced capabilities that enhance LCD technology and then reviews business factors to consider when selecting or specifying display systems.
