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 ...

Researchers in China have applied a machine learning technology based on temporal convolutional networks in PV power forecasting for the first time. The new model reportedly outperforms similar models ...

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 ...

In a new report sent to Rigzone this week, Standard Chartered revealed that it is launching a machine learning model for near-term Brent price forecasting. Dubbed SCORPIO (Standard Chartered Oil ...

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 ...

Including prediction stability as a parameter when using machine learning to design functional biological sequences can significantly improve the selection pool of antibodies, according to a recent ...

Spire Global has extended its AI-enhanced wind and solar generation forecasting tools to the Electric Reliability Council of Texas (ERCOT), adding one of the nation’s fastest-growing power markets to ...

For all the excitement surrounding artificial intelligence, many leadership teams are still waiting to see its impact show up where it matters most. The promised gains in efficiency and output often ...

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 ...