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research.google | ||
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thatsmaths.com
Before the age of computers, weather forecasters analysed observations plotted on paper charts, drew isobars and other features and - based on their previous knowledge and experience - constructed charts of conditions at a future time, often one day ahead. They combined observational data and rules of thumb based on physical principles to predict what... |
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blog.research.google
[AI summary] Google Research introduces MetNet-2, a deep learning model that enhances 12-hour precipitation forecasting with improved accuracy and efficiency compared to traditional physics-based methods. |
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andlukyane.com
My review of the paper Deep Learning for Day Forecasts from Sparse Observations |
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www.danieldemmel.me
Part two of the series Building applications using embeddings vector search and Large Language Models |
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