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blog.research.google | ||
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ai.googleblog.com
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| | | | | [AI summary] Google Research explores using machine learning to enhance simulation methods for partial differential equations, aiming to improve computational efficiency and accuracy in scientific modeling. | |
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niklasriewald.com
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| | | | | Is it possible to replace numerical weather prediction with deep learning? Certainly not yet. But first work is being done to investigate this question. In this post I want to discuss a paper called "MetNet: A Neural Weather Model for Precipitation Forecasting" that Google Research published back in March 2020 and in which they try... | |
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andlukyane.com
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| | | | | My review of the paper Deep Learning for Day Forecasts from Sparse Observations | |
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resources.paperdigest.org
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| | | The Conference on Neural Information Processing Systems (NIPS) is one of the top machine learning conferences in the world. Paper Digest Team analyze all papers published on NIPS in the past years, and presents the 15 most influential papers for each year. This ranking list is automatically construc | ||
