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Scientists deploy AI to better predict wildfires

New model takes into account weather forecasts as well as other factors such as levels of flammable vegetation and human activity

Scientists are deploying artificial intelligence to significantly improve predictions about when and where destructive wildfires will ignite, helping to mitigate disasters such as the one that recently devastated Los Angeles.

Experts at the European Centre for Medium-Range Weather Forecasts said their new Probability of Fire model could outperform the conventional danger forecasts used by wildfire trackers, by harnessing AI to analyse a wider set of data.

The PoF model takes into account not only predictions of weather conditions such as the heat and dryness associated with wildfires, but also other relevant details such as the amount of vegetation available to fuel blazes and even human activity.

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