AI for Resilient Autonomous Operations and Scientific Discovery in Extreme and Unpredictable Environments Introduction: Defining Extreme Environments and the Critical Role of AI-Driven Autonomous Systems. Extreme environments represent a class of settings that impose significant operational and technological challenges due to conditions far exceeding the normal parameters for human comfort and conventional technology. These environments are inherently resource-constrained , characterized by limitations in energy availability, computational power, communication bandwidth, and essential consumables. They are also fundamentally dynamic , exhibiting rapid and often unpredictable shifts in environmental conditions. Furthermore, these locations are often largely unknown , with sparse or incomplete prior data and understanding. Examples of such environments are diverse and include deep space missions navigating vacuum, radiation, and immense distances; sub-oceanic exploration contending with ...
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Explore a curated archive of artificial intelligence articles, machine-generated insights, and experimental AI content. Some posts are written by AI. Others are reviewed under human supervision. This blog dives into the hidden layers of machine learning, neural networks, and unsanctioned AI experiments.