In recent years, the escalating frequency, intensity and cost of natural disasters have posed widespread challenges for federal, state and commercial officials. One such challenge is ensuring the resiliency of the nation’s infrastructure, including the energy grid. That concern prompted scientists at the Department of Energy’s Pacific Northwest National Laboratory (PNNL) to begin exploring how artificial intelligence (AI) and machine learning (ML) could be used to predict wildfires and mitigate the impact of other potential natural disasters. Pioneered by experts like Chief Scientist Andre Coleman, PNNL’s groundbreaking work has helped modernize disaster and emergency management by using A
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