Big Data Concerns in Autonomous AI Systems
Abstract
Current and future space, air, and ground systems are growing in complexity and capability, creating serious challenges to operators who monitor, maintain, and use systems in an ever-growing network of assets. Growing interest in autonomous systems with cognitive skills to monitor, analyze, diagnose, and predict behaviors in real time makes this problem even more challenging. Systems today continue to struggle to satisfy the need to obtain actionable knowledge from an ever-increasing and inherently duplicative store of non–context specific multidisciplinary information content. In addition, increased automation is the norm and truly autonomous systems ...
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