Artificial Intelligence
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DeepMind AI accurately forecasts weather — on a desktop computer
The machine-learning model takes less than a minute to predict future weather worldwide more precisely than other approaches.Artificial-intelligence (AI) firm Google DeepMind has turned its hand to the intensive science of weather forecasting — and developed a machine-learning model that outperforms the best conventional tools as well as other AI approaches at the task.
The model, called GraphCast, can run from a desktop computer and makes more accurate predictions than conventional models in minutes rather than hours.
“GraphCast currently is leading the race amongst the AI models,” says computer scientist Aditya Grover at University of California, Los Angeles. The model is described1 in Science on 14 November.
Predicting the weather is a complex and energy-intensive task. The standard approach is called numerical weather prediction (NWP), which uses mathematical models based on physical principles. These tools, known as physical models, crunch weather data from buoys, satellites and weather stations worldwide using supercomputers. The calculations accurately map out how heat, air and water vapour move through the atmosphere, but they are expensive and energy-intensive to run.
- essential when climate change desasters kickin a few level above the current state and speed of existence to have preciser forecast.neverscared