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research.google | ||
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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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gmd.copernicus.org
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| | | | | Abstract. Forecasting heavy precipitation accurately is a challenging task for most deep learning (DL)-based models. To address this, we present a novel DL architecture called multi-scale feature fusion (MFF) that can forecast precipitation with a lead time of up to 3?h. The MFF model uses convolution kernels with varying sizes to create multi-scale receptive fields. This helps to capture the movement features of precipitation systems, such as their shape, movement direction, and speed. Additionally, the... | |
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blog.research.google
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nasniconsultants.com
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| | | ChatGPT, or something built on ChatGPT, or something that's like ChatGPT, has been in the news almost constantly since ChatGPT was opened to the public in November 2022. What is it, how does it work, what can it do, and what are the risks of using it? A quick scan of the web will show | ||
