Military Embedded Systems CJADC2 Virtual Summit Session II: Leveraging AI in CJADC2 Operations

Military Embedded Systems Virtual Summit: Leveraging AI in CJADC2 Operations

September 17, 2025

Artificial intelligence (AI) solutions will be critical to enabling CJADC2 operations as the data being processed across the network will need to be analyzed and disseminated at light speed. Freeing humans from analysis duties will improve tactical decision-making. Currently, the tremendous amounts of intelligence, surveillance, and reconnaissance (ISR) data and electronic warfare/signals intelligence data (EW/SIGINT) collected is too much for one human mind to process. In the long run, AI may even act as a CJADC2 network’s brain, enabling the network to adapt quickly to ever-changing and complex adversarial scenarios.

‍

This session details how embedded AI and commercial technology innovations enable faster and more accurate intelligence across multiple domains.

Elma's Wistia Channel

Watch Here

Watch More Webinars

https://elma-2.wistia.com/medias/efbjkyl0wa

Unlock the Full Potential of SOSA: Connectivity and Cooling Strategies

December 4, 2024

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.

Learn More

https://elma-2.wistia.com/medias/o9q8v5kr7c

How MOSA enables GPU AI acceleration in Embedded Sensor Systems

October 30, 2024

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.