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Generative AI to quantify uncertainty in weather forecasting


What Happened

Generative AI is making its way into the world of weather forecasting. Researchers at Google have developed a new AI model that can predict uncertainty in weather patterns with much more accuracy than previous methods.

This breakthrough has the potential to revolutionize weather forecasting by allowing us to better predict extreme weather events, such as floods and hurricanes.

Why It Matters

The new AI model can help to save lives and property by providing meteorologists with a more accurate way to predict extreme weather events. This model can also help to improve the efficiency of weather forecasting by reducing the amount of time spent on gathering and analyzing data.

Context & Background

The new AI model was developed by a team of scientists led by DeepMind's Senior Research Scientist Dr. John Schulman. The model has been tested on a large dataset of weather data and has shown to be very accurate.

The model is currently being tested in collaboration with the National Oceanic and Atmospheric Administration (NOAA). NOAA is responsible for weather forecasting in the United States.

What to Watch Next

The new AI model is expected to be widely available to the public within the next year. This model has the potential to revolutionize weather forecasting and save lives and property.


Source: Google AI Blog | Published: 2024-03-29