Traditional machine learning methods suffer from the curse of dimensionality. Here, Ryan Samson, Jeffrey Berger, Luca Candelori, Vahagn Kirakosyan, Kharen Musaelian and Dario Villani introduce a novel ...

Accurately predicting the weather is hard — really hard, but a new AI-powered forecast model just hit a milestone that has experts saying your forecast could soon get more accurate, and further out, ...

As the COVID-19 pandemic continues to impact communities around the world, hospitals face the challenge of managing patient influx while ensuring optimal resource allocation. To tackle this issue, SFU ...

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 ...

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 ...

The system generates daily forecasts of cargo tonnage, ULDs, and piece counts by flight, truck, customer, transport mode, and ...

Worldwide Flight Services uses a machine learning forecasting system to give its cargo warehouses forward-looking data on ...

Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using ...