Freshwater says nearly all of Amazon’s “forecasting is automated through machine learning models, and human beings and business users only interact with the forecast and override it when they ...

Numerous deep learning architectures have been developed to accommodate the diversity of time-series datasets across different domains. In this article, we survey common encoder and decoder designs ...

Existing models of earthquake aftershocks struggle with the volume of contemporary data, but a new team uses deep learning to improve forecasting.

The validated deep-learning framework can be used to perform real-time forecasts of wave conditions using available forecasted boundary wave conditions, ocean currents, and winds.

Campus News Seismologists use deep learning to forecast earthquakes A team of researchers at UC Santa Cruz and the Technical University of Munich created a new model that uses deep learning to ...

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal ...