Google's DeepMind just released WeatherNext 2, a new version of its AI weather prediction model. The company promises that it "delivers more efficient, more accurate and higher-resolution global ...

Google DeepMind and Google Research today announced WeatherNext 2 as its “most advanced and efficient forecasting model.” Notably, it’s helping power forecasts in Google’s consumer apps, including ...

Code for our SIGKDD'25 paper: "BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models". The advent of universal time series forecasting models has revolutionized zero-shot ...

Abstract: Due to the intrinsic complexity of time series forecasting within power systems, artificial intelligence has emerged as a promising pathway for predictive analytics. Although time series ...

1 Chongqing Key Laboratory of Childhood Nutrition and Health, Department of Nephrology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and ...

The visible patterns produced by the time crystals could be used for data storage and anti-counterfeiting designs. When you purchase through links on our site, we may earn an affiliate commission.

A comprehensive, flexible and commonly-used DLinear-like framework for time series forecasting with support for both PyTorch and PyTorch Lightning. Easy for time series forecasting model development ...

Temperature impacts every part of the world. Meteorological analysis and weather forecasting play a crucial role in sustainable development by helping reduce the damage caused by extreme weather ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation This paper examines the drivers of inflation in São Tomé and Príncipe and develops a model for forecasting it. It finds ...