Rappid: A modular, application-ready spectrum processing platform
Enabling innovative ways to apply scalable and standardized technology to the design, development and susta...
Enabling innovative ways to apply scalable and standardized technology to the design, development and sustainment challenges
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.
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....
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.
In order to minimize cost and time-to-market, the hardware must be flexible and modular. To address this emerging-need, we have developed a multi-channel, coherent system architecture.
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...
Microwave Journal: Optimize the IF from mission to mission