(Image credit: Courtesy of Geolava/Shutterstock)

I never deemed it possible, but AI’s ability to predict extreme weather conditions has actually morphed from a fantasy into a reality.

Tools such as Google DeepMind’s GraphCast , Huawei’s Pangu-Weather and ECMWF’s AIFS have emerged—by running on decades of historical weather and atmospheric data, they all rely on pattern recognition to be as fast and efficient as possible when generating global forecasts. Even organizations such as the National Oceanic and Atmospheric Administration (NOAA) and the European Centre for Medium-Range Weather Forecasts (ECMWF) have utilized AI weather systems to keep track of large-scale environmental events.

The emergence of spatial AI is doing even more in that regard, as it's already helping US cities predict and prepare for floods, wildfires and urgent infrastructure failures before a disaster strikes.

Hantz Févry, CEO of Geolava , which is a technology lab developing AI models for the physical world, answered some…