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NVIDIA has announced the launch of its Earth-2 API, a highly accurate digital replica of the Earth that can be used by governments and meteorological agencies. The goal is, among other things, to predict natural disasters most effectively.
Knowing the weather tomorrow or 6 days later is very convenient for organizing an outing. But the usefulness of weather forecasts goes far beyond that. For example, they can let you know when hurricanes will hit densely populated areas, or whether floods will occur after particularly important rainfall events. In order to facilitate the work of professional institutions and companies, NVIDIA has announced the creation of a virtual replica of the Earth.
Specifically, NVIDIA's Earth-2 API "allows almost any user" Create high-resolution interactive simulations from global atmosphere and local clouds to typhoons and turbulence All of this is based on the work of artificial intelligence. This is not the first time artificial intelligence has been used to predict weather. The company hopes to reduce the economic losses caused by extreme weather caused by climate change, with experts estimating an annual loss of $143 billion.
NVIDIA provides dual digital Earth for better weather prediction
For Huang Yansen, the founder and CEO of NVIDIA, creating such a system is necessary. "Climate disasters are now normal: historic droughts, catastrophic hurricanes, and intergenerational floods appear with astonishing frequency in the news. The Cloud Earth 2 API is committed to helping us better cope with extreme weather and inspiring us to take action to alleviate it."
In order to generate virtual twin brothers for our Blue Planet, NVIDIA used a new generative artificial intelligence system called Corrdif. According to the company, the images it creates have a resolution 12.5 times that of current digital models, a speed 1000 times faster, and are also 3000 times more energy-efficient. One of the earliest companies to use the Earth-2 API was Weather, one of the world's leading weather forecasting companies, which had previously collaborated with Nvidia to improve its internal systems.
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