NVIDIA wants to help fight the current problems of climate predictions with AI and a perfect earth model
NVIDIA has released a exact replica of the Earth that we can consult in the cloud. This is part of the company’s efforts to create the most powerful AI chips in the world and to aspire to improve computing services through this new technology that has only been on the market for a few months. Thus, in its fight to achieve general artificial intelligence that its CEO believes would arrive in about five years.
The leap to AI climate models
NVIDIA has prepared Earth-2, a twin planet of Earth established in the cloud that serves to simulate and visualize weather and climate in a way that, until now, was technically impossible. Their objective, as they say in a press release, is to help fight against the economic losses of 140 billion dollars that are caused annually by extreme weather events that are emerging on our planet.
Earth-2 allows users to create interactive AI-based simulations at gigantic resolution to analyze the climate predictions with great ease and capacity. Thus, these APIs can be combined with data from the companies in charge of weather forecasting to receive forecasts only in seconds. Traditional models take hours and promise to be much less certain than these predictions created by AI.
The Earth-2 APIs are based on a new generative model from NVIDIA called CorrDiff that generates images with a resolution 12.5 higher than current models. According to the firm, it is also 1,000 times faster and 3,000 times more efficient. The first organization to say they will apply these models is Taiwan’s Central Meteorological Administration, whose plan is to use these diffusion models to more accurately forecast where typhoons could impact the small island.
There are also many private companies that are adopting this service to carry out realistic and rapid forecasts within the weather forecast service. It must be understood that this science bases its predictions on models that carry many years creating and correctingbut they are still quite slow to project since the AI cores are much faster than the conventional CPU.
Until now, climate predictions had a certain effectiveness. Like any science, there is always a margin of error, but atmospheric science has proven its accuracy countless times. Now, this could have a double function, since it would help them save time and would allow climate models to be scaled to much more precise and concrete ones, something that until now was not possible with existing technology.
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