Vertical Magazine: Coulson Aviation expands night firefighting operations
The UCSD Supercomputer will forecast where the fire direction is predicted to go and identify for fire leadership the risks and hazards for firefighters and communities.
The New York Times: Can ‘Big Data’ Help Fight Big Fires? Firefighters Are Betting on It
Firefighters in Los Angeles County are looking to supercomputers to help swiftly predict which way fires will move.
Voice of America: Wildfires (VOA/TEK Episode 10)
The WIFIRE program was designed to predict the movement of wildfires plaguing California. WIFIRE maps are generated by two massive supercomputers named Comet and Gordon. Comet is a powerful tool, capable of performing two quadrillion computations per second. It takes all this computing power to stay ahead of a wind-driven wildfire.
Forbes: California Wildfire Season Is Coming. These New Technologies Could Help.
Summer is coming, which means that California is bracing for the annual overlap of wildfire seasons, much too soon after the most expensive and destructive wildfire year on record. There are new cyber-infrastructure systems, such as WIFIRE from the University of California San Diego, which was designed to predict a wildfire’s path in real time.
CBS Sacramento: Firefighters Looking To Artificial Intelligence Technology To Help Fight Wildfires
Putting a wildfire out quickly is great, preventing one from starting in the first place is even better. How to do that was a hot topic at the Wildfire Technology Innovation Summit Wednesday at Sacramento State. It turns out, the future of firefighting includes a whole lot of artificial intelligence.
KPBS: UC San Diego’s Qualcomm Institute Shows Off Virtual Reality, Wildfire Technology
The "SunCAVE" at UC San Diego's Qualcomm Institute has 70 monitors with 4K resolution that researchers said create the world's highest resolution virtual reality system. Researchers have created models that when combined with wind speed and other weather conditions can predict what a fire will do.
Wildfire Technology Innovation Summit 2019
The Summit gathered national and international thought leaders and practitioners from state and local governments, academia, industry, and others to inform and engage each other about the challenges of wildfires and tools that can help us better manage these devastating disasters.
Land Cover Classification at the Wildland Urban Interface using High-Resolution Satellite Imagery and Deep Learning
Nguyen, M. H., Block, J., Crawl, D., Siu, V., Bhatnagar, A., Rodriguez, F., Kwan, A., Baru, N., and Altintas, I. “Land Cover Classification at the Wildland Urban Interface using High-Resolution Satellite Imagery and Deep Learning,” in the 2018 IEEE International Conference on Big Data.
TIME Magazine: AI Is Helping Fight Wildfires Before They Start
Knowledge of the fuel sources in a wildfire's path is critical to predicting its movements. To that end, WIFIRE's artificial intelligence software examines high-resolution satellite imagery to predict the combustibility of the vegetation surrounding a fire, then incorporates that information into its predictions.
Scalable Detection of Rural Schools in Africa using Convolutional Neural Networks and Satellite Imagery
Yazdani, M., Nguyen, M., Block, J., Crawl, D., Zurutuza, N., Kim, D., Hanson, G., and Altintas, I., Scalable Detection of Rural Schools in Africa using Convolutional Neural Networks and Satellite Imagery, In the fifth international workshop on Smart City Clouds: Technologies, Systems and Applications (SCCTSA) at the IEEE/ACM International Conference on Utility and Cloud Computing (UCC), 2018.