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Showing posts with the label Spherical Neural Operator

revolutionary-AI-climate model predicts-faster

Revolutionary Climate Model Uses AI and Physics to Predict Patterns 25x Faster Integrating Generative AI and Physics-Based Data By integrating algorithms from generative AI tools such as DALL-E with physics-based data, new a p proaches can be devised to model the Earth's climate more effectively. Com puter scientists from Seattle and San Diego have leveraged this integration to develo p a model that forecasts climate  patterns over the next century at a rate 25 times faster than current methods. Introducing S pherical DYffusion: A Game-Changing Climate Model Un precedented S peed and Efficiency S pherical DYffusion , the model in question, can simulate a century's worth of climate patterns in only 25 hours-far faster than other models, which would need weeks. Furthermore, while existing leading models demand su percom puting  power, this model can function on GPU clusters in a research laboratory. Researchers' Pers pective Researchers from the University of California, San ...