As adversarial threats grow in complexity, the need for the U.S. military's electronic warfare (EW) and signal intelligence (SIGINT) systems to rapidly evolve is more critical than ever. Traditionally hindered by proprietary, closed architectures resulting in high costs and limited flexibility, the tide is turning with the advent of open systems architectures.
This webinar spotlight the transformative impact of the Sensor Open Systems Architecture (SOSA) edition 1.0, the C5ISR/EW Modular Open Suite of Standards (CMOSS), and the Modular Open RF Architecture (MORA), derived from the VICTORY architecture. These frameworks are pioneering a shift towards open standards and interfaces, promoting collaboration between industry and government to redefine defense technology design and implementation.
Participants will learn how leveraging these open architectures enables the seamless integration of cutting-edge commercial technologies in RF, signal processing, and AI. This strategic move not only accelerates the deployment of advanced capabilities but also ensures systems are more adaptable, cost-effective, and capable of meeting future challenges head-on. Join us to explore how SOSA, CMOS, and MORA are setting the stage for a new era of military readiness and strategic advantage.
This is the first webinar in our deep-dive series into using the SOSA Technical Standard. We explore key aspects of blind mate optical and coax connector modules, channel mapping, and 3U VPX plug-in card cooling methods. Experts Mark Littlefield and Nino Addamo provide insights into VITA 66.5 and 67.3 connectivity and cooling strategies, offering practical guidance for optimizing your SOSA implementations.
Explore our on-demand webinar, “Implementing GPU-Powered Modular Open Systems Hardware for AI Acceleration in High-Demand Sensor-Based Applications.” In this engaging session, Elma Electronic partners with industry leader Chris Fadeley, CTO of EIZO Rugged Solutions, to discuss the transformative impact of NVIDIA®-powered GPGPU modular systems on AI acceleration for sensor-based applications.