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NASA's Solar Dynamic Observatory was created to piece together the underlying physics of the sun, but as IBM notes, the ...
Researchers at Northeastern University can predict the emergence of a dengue fever outbreak with 80% accuracy—a breakthrough ...
During the COVID-19 crisis period, when GDP growth became unusually volatile, the advantages of deep learning became even ...
The National Hurricane Center (NHC) is testing advanced AI models this season. The goal is to provide near-real-time tropical ...
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.
The study found that integrating spatial analysis from CNNs with temporal learning from LSTMs enabled the hybrid model to ...
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 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 ...
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, ...
The forecasting models were differentiated into five categories namely, ensemble, epidemiological, hybrid, and machine learning. The team examined a total of 51 models.
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