A recent study found the possibility of employing artificial intelligence techniques in providing predictions of hurricanes and strong storms faster and more accurate. The study, published in the scientific journal “Nature”, indicated that researchers at the Microsoft software company “Microsoft” concluded that the artificial intelligence model “Urwa” that the company develops outperforms the traditional operational expectations for the prediction of air quality, ocean waves and tropical hurricane paths, using much lower costly computing systems.
“Microsoft” pointed to the use of more than a million hours of various geophysical data, a sufficient amount of data to make the system be able to provide more accurate predictions, not only for weather, but also for a wide range of climate events through retrospective analyzes, including hurricanes and strong ocean waves.
In the context, a research team from the US National Oceanic and Atmospheric Administration and the University of Oklahoma confirmed that he has developed the prediction model using the Graphtast tool in the artificial intelligence model “Google Depp Mind”, and could be 10 times faster than traditional models in predicting hurricanes.
