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Harnessing AI and Edge Computing for Fire Science

Pete Beckman
Pete Beckman
Director

KONZA prescribed burn, thermal cameras of fire, and volcanic activity

Sage is a cutting-edge cyberinfrastructure testbed funded by the NSF Office of Advanced Cyberinfrastructure to support AI research. The platform provides real-time environmental monitoring and AI-enabled edge computing at a national scale. By bringing advanced AI to the edge, where data is collected, full-resolution analysis, dynamic automation, and immediate actionable responses can be computed. Each Sage node includes a GPU and AI-optimized software stack connected to instruments such as infrared cameras, RGB cameras, LIDAR, and traditional sensors for air quality and wind, as well as LoRaWAN connected sensors for low-bandwidth measurements such as soil moisture. With over 100 Sage nodes deployed across 17 states, including fire-prone regions in the Western U.S., the platform supports rapid-response science and sustained observation of ecological systems, agriculture, urban environments, and weather-related hazards.

Read more at Support of AI for Fire Science.