HEROES: AI/ML Edge Processing: Intelligence Community Challenges and Research Frontiers
This webinar will examine the characteristics of intelligence-relevant edge data, the operational and computational constraints that shape AI/ML model deployment outside centralized environments, and the ways analysts interact with model-derived outputs. Emphasis will be placed on fundamental research challenges, including efficient and adaptive model architectures, inference under resource and bandwidth limitations, data reliability, and robustness in distributed and contested settings. Attendees will gain insight into open problems and unmet needs to help inform future academic research in edge intelligence, trustworthy AI, and resilient distributed learning systems. Register ...