Scientists at the Department of Energy’s Pacific Northwest National Laboratory (PNNL) are harnessing the power of artificial intelligence (AI) and machine learning (ML) to predict wildfires and mitigate the impact of natural disasters. Their groundbreaking work has helped modernize disaster and emergency management by using AI and ML to make sense of vast amounts of satellite and geospatial data in near real-time. This helps public safety officials, utilities, and land-use managers better prepare for pending disasters. The laboratory’s Rapid Analytics for Disaster Response (RADR) platform combines multi-modal imagery, AI, and scalable cloud computing to provide actionable insights on infrastructure damage assessment. As the frequency and intensity of natural disasters continue to escalate, PNNL’s innovative approach is crucial in ensuring the resiliency of the nation’s infrastructure, including the energy grid.
AI-Powered Disaster Response
PNNL’s work has caught the attention of a widening group of stakeholders, including the Department of Energy’s Office of Cybersecurity, Energy Security, and Emergency Response and the Joint Artificial Intelligence Center.
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