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Modelling geological formations underground is challenging due to the lack of direct visibility and cost of exploratory sampling. AI algorithms are being applied to improve geological estimations, fusing together a variety of dense and sparse data from different sources.

AI is being used in maintenance prediction and response, accident and injury avoidance, environmental impact including ventilation, pollution and water management, and autonomous vehicle management.
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