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Re:XLSTMTime: Long-Term Time Series Forecasting with xLSTM by dlojudice on Tuesday July 16, 2024 @05:45PM (#40980621)
Is this somehow related to the Google weather prediction model using AI [1]?

https://deepmind.google/discover/blog/graphcast-ai-model-for...

Re:XLSTMTime: Long-Term Time Series Forecasting with xLSTM by scellus on Wednesday July 17, 2024 @04:40AM (#40983705)
No, Graphcast is a graph transformer trained on ERA5 weather reconstructions of the atmosphere, not a general time series prediction model. It by the way outperforms all traditional global point forecasts (non-ensembles), at least on predicting large-scale global patterns (Z500 and such, on the lag of 3–10 days or so). ECMWF has AIFS that is a derivate of Graphcast, they'll probably get it or something similar to production in a couple of years.
Re:XLSTMTime: Long-Term Time Series Forecasting with xLSTM by wafngar on Wednesday July 17, 2024 @08:25AM (#40985099)
AIFS is transformer based (Graphcast is pure GNN) so different architecture and is already running operationally, see:

https://www.ecmwf.int/en/about/media-centre/aifs-blog/2024/i...