Using Deep Learning to Predict Wildfires with Feng Yan - #329

Feng Yan, an Assistant Professor at the University of Nevada, Reno, is at the forefront of using machine learning for wildfire prediction. He introduces ALERTWildfire, a network of cameras that capture real-time data to enhance monitoring efforts. The conversation dives into innovative camera deployments, the integration of satellite and ground-level data, and overcoming challenges in model training. Feng also discusses leveraging IaaS and FaaS for scalability and cost-effectiveness in tackling the growing threat of wildfires.