New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of ...

Picture a single forecasting mistake triggering a cascade of negative consequences, such as surplus inventory, strained supplier relationships and disappointed customers. In today's world, accurate ...

A range of national meteorological services across Europe and ECMWF have launched Anemoi, a framework for creating machine learning (ML) weather forecasting systems. Named after the Greek gods of the ...

Artificial intelligence-driven algorithms can be used to better forecast models for natural disasters, saving lives and protecting property by rapidly analyzing massive data sets and identifying ...

Get the latest federal technology news delivered to your inbox. Wildfire smoke from Canada’s extreme fire season has left a lot of people thinking about air quality and wondering what to expect in the ...

Economist Barbara Rossi has outlined a new method of assessing large numbers of big data-driven forecast models. Rossi told a ...

On Tuesday, the peer-reviewed journal Science published a study that shows how an AI meteorology model from Google DeepMind called GraphCast has significantly outperformed conventional weather ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially ...

Researchers report that the integration of machine learning and Internet of Things (IoT) technologies is enabling a new ...