The innovation at the heart of this research lies in combining Long Short-Term Memory (LSTM) networks and Recurrent Neural Networks (RNNs) to tackle financial time series data. These architectures ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I am continuing my special series on the ...

Artificial intelligence is becoming an asset in hurricane forecasting. In 2024, an AI-based model created by Google correctly predicted Hurricane Beryl would make landfall in Texas while a top ...

FORECAST.ETS applies an exponential triple smoothing (ETS) algorithm to create forecasts that can include trend and seasonal ...

In today’s markets, change is the only constant. A lot of factors, such as inflation and supply chain disruptions, combine to create a fragile environment where forecasting is no longer just a ...

BATON ROUGE, La. (WAFB) - At Louisiana State University, a group of scientists are training computer models to understand the behavior of storms. Their goal? To give people more time to prepare and ...

Thanks to A.I., companies like WindBorne hope to usher in a golden age of forecasting. But they rely in part on government data — and the agency that provides it is in turmoil. A WindBorne weather ...

The landscape of demand forecasting, data science and machine learning is rapidly evolving, as companies seek innovative approaches to handle the intricate intersection between technology and consumer ...

Recently, researchers from the Institute of Urban Meteorology, China Meteorological Administration, have combined data from ...