Leveraging AI/ML in CJADC2 Operations Artificial intelligence (AI) and machine learning (ML) solutions will be essential 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, facilitate information management, and help achieve information dominance. 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/ML 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/ML solutions enable faster and more accurate intelligence across multiple domains.
John Breitenbach is the Director of Aerospace & Defense Markets for Real-Time Innovations. He has over 30 years of experience designing software for intelligent machines. He’s worked on industrial, medical, consumer and military products -...
Jeff Baldwin is Director of Engineering at Sealevel Systems, where he leads the development of rugged embedded computing systems for mission-critical environments. With more than 20 years of engineering experience and over 65 industrial computer...