Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

Ph.D. student Phillip Si and Assistant Professor Peng Chen developed Latent-EnSF, a technique that improves how ML models assimilate data to make predictions.

This study was led by Professor Qi Zhong and Professor Xiuping Yao from the China Meteorological Administration Training Center, and Assistant Engineer Zhicha Zhang from the Zhejiang Meteorological ...

The intersection of artificial intelligence (AI) and weather forecasting has taken a monumental step forward. Recent advances reveal that AI models are now on par with leading traditional methods in ...

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 ...

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

A new satellite mission backed by NASA and the European Space Agency (ESA) is poised to strengthen global hurricane forecasting by measuring ocean heat and sea surface height more precisely than ever ...

Customer relationship management (CRM) and artificial intelligence (AI) have revolutionized the always-changing business technology landscape, and integrating AI into CRM systems can improve sales ...

Machine learning is a multibillion-dollar business with seemingly endless potential, but it poses some risks. Here's how to avoid the most common machine learning mistakes. Machine learning technology ...