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 ...

A recent study has introduced a new machine learning model aimed at improving the accuracy of renewable energy forecasting. Published in March 2021 under the title An Efficient Supervised Machine ...

Machine learning is revolutionising demand forecasting to drive superhuman accuracy, efficiency and decision-making in manufacturing businesses. In today’s cost-conscious markets, the importance of ...

Forecasting inflation has become a major challenge for central banks since 2020, due to supply chain disruptions and economic uncertainty post-pandemic. Machine learning models can improve forecasting ...

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 ...

Simply sign up to the Artificial intelligence myFT Digest -- delivered directly to your inbox. Google DeepMind has unveiled an artificial intelligence weather prediction model that outperforms ...

The goal of this paper is to forecast future firm performance with machine learning techniques. Using data on over one million Japanese firms with supply-chain linkage information provided by a credit ...

IMF researchers show that satellite data, especially nighttime lights combined with machine learning can reliably estimate ...