#wildfire-ai

#wildfire-ai

Research from the Insurance Institute for Business & Home Safety consistently identifies wind-borne embers, firebrands carried well ahead of the fire front, as a dominant cause of residential structure loss in wildfires.

The Trump Administration's sweeping changes to the Forest Service, which operates under the Department of Agriculture, represent a gutting of an agency that has been a stable fact of life for over a century.

Meta is working on two proprietary frontier models: Avocado, a large language model, and Mango, a multimedia file generator. The open-source variants are expected to be made available at a later date.

While humans have assembled a lot of weather data, flash floods are too short-lived and localized to be measured comprehensively, the way the temperature or even river flows are monitored over time. That data gap means that deep learning models, which are increasingly capable of forecasting the weather, aren't able to predict flash floods.

One year ago, Nancy Ward, then the director of the California Governor's Office of Emergency Services (Cal OES), petitioned the Federal Emergency Management Agency to spearhead the cleanup of toxic ash and fire debris cloaking more than 12,000 homes across Los Angeles County. Although Ward's decision ensured the federal government would assume the bulk of disaster costs, it came with a major trade off.