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You are here		andlukyane.com Paper Review: Deep Learning for Day Forecasts from Sparse Observations - Andrey Lukyanenko
\|	\|	deepmind.google GenCast predicts weather and the risks of extreme conditions with state-of-the-art accuracy - Google DeepMind New AI model advances the prediction of weather uncertainties and risks, delivering faster, more accurate forecasts up to 15 days ahead	3.7 parsecs Travel
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\|	\|	research.google MetNet-3: A state-of-the-art neural weather model available in Google products Posted by Samier Merchant, Google Research, and Nal Kalchbrenner, Google DeepMind Forecasting weather variables such as precipitation, temperature,...	1.7 parsecs Travel
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\|	\|	thatsmaths.com DLWP: A New Age of Weather Forecasting - ThatsMaths 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...	3.5 parsecs Travel
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\|	\|	research.google RT-1: Robotics Transformer for real-world control at scale Posted Keerthana Gopalakrishnan and Kanishka Rao, Google Research, Robotics at Google Major recent advances in multiple subfields of machine learni...	10.1 parsecs Travel
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