Research is being conducted on using machine learning to predict and analyze wildfires, with various studies focusing on different regions, including Gangwon State in South Korea, Siberian forests, and fire-prone ecosystems in Australia. The studies aim to assess and predict wildfire risks, extents, and distributions, as well as the impact of extreme fire weather events. The scope of the research appears to be global, with multiple countries and regions being examined.