Multi-University AI Research May Revolutionize Wildfire Evacuation (UF News)
Armed with a nearly $1.2 million National Science Foundation grant, UF is leading a study to develop AI-based models that simulate human behavior during evacuations—insights that will help emergency managers create more effective evacuation plans.
New Lightning Sensors Could Detect Tahoe Wildfires in Seconds. Here’s How They Work
A real-time lightning detection system developed by UF Innovate | Accelerate resident client FNN is helping California officials better prepare for wildfires, offering earlier alerts to reduce disaster risk.
Taming Wild Fires Before They Spiral: Part 2 – User Experience
UF Innovate | Accelerate resident client Fire Neural Network (FNN) was spotlighted for its AI-powered wildfire detection system, which emphasizes user experience in addressing critical environmental challenges.
Taming Wild Fires Before They Spiral – Part 1: Solutions
UF Innovate | Accelerate resident client Fire Neural Network (FNN) was spotlighted for its AI-driven wildfire detection platform, which aims to prevent devastating blazes by catching them early with low-cost sensors and advanced analytics.
XPRIZE UF
UF Innovate | The Hub resident client FNN, in collaboration with UF researchers, advances to the semi-finals of the XPRIZE Wildfire competition with its AI-driven technology aimed at early detection and suppression of wildfires.