Its forecasts through 15 days were significantly more accurate than one of the most well-respected traditional non-AI forecast models, according to a study published by DeepMind in the journal Nature.

NASA's Solar Dynamic Observatory was created to piece together the underlying physics of the sun, but as IBM notes, the ...

During the COVID-19 crisis period, when GDP growth became unusually volatile, the advantages of deep learning became even ...

Researchers at Northeastern University can predict the emergence of a dengue fever outbreak with 80% accuracy—a breakthrough ...

For example, the American Global Ensemble Forecast System (GEFS) is a weather forecast model made up of 21 separate members. The European Center for Medium Range Forecast (ECMWF) runs 51 members ...

The study found that integrating spatial analysis from CNNs with temporal learning from LSTMs enabled the hybrid model to ...

The forecasts eventually learned that prices were not going to return to previous levels, and flattened out; but almost as soon as they did, prices spiked briefly to $147. As with travel forecasts, ...

An advanced forecasting model that predicts several types of extreme weather with substantially improved accuracy has been adopted for day-to-day operational use by civilian and military weather ...

The forecasting models were differentiated into five categories namely, ensemble, epidemiological, hybrid, and machine learning. The team examined a total of 51 models.

The use of multiple models is critical in the forecast creation process, but is not without its own pitfalls. In 2012, Hurricane Sandy made landfall in New Jersey to devastating effect. Its ...