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 ...

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.

Paul Winters receives funding from the Gates Foundation. He is the Executive Director of AIM for Scale. Amir Jina receives funding from AIM for Scale. For farmers, every planting decision carries ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

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 ...

Abstract: In this study, we compare various hybrid time series forecasting models to improve prediction accuracy for semiconductor product demand. Our investigation examines two contrasting demand ...

Uni2TS is a PyTorch based library for research and applications related to Time Series Forecasting. It provides a unified framework for large-scale pre-training, fine-tuning, inference, and evaluation ...