Wall Street analysts forecast that Exelixis (EXEL) will report quarterly earnings of $0.63 per share in its upcoming release, pointing to a year-over-year decline of 25%. It is anticipated that ...

South Florida TV forecaster John Morales said he was not confident he could predict the paths of storms this year, touching a nerve amid concerns about how federal cuts could affect hurricane season.

More information: Katja Schlegel et al, Large language models are proficient in solving and creating emotional intelligence tests, Communications Psychology (2025).

Researchers from East China Normal University have developed a novel PV power prediction model for scenarios with considerable fluctuations. Dubbed CRAK, the new hybrid deep learning model ...

Advanced systems from Microsoft and Google are already outperforming traditional forecasting models.

Home > Computing Microsoft's AI Weather Model Is More Accurate, Less Expensive Than Traditional Forecasting That's according to a research paper written largely by Microsoft employees, at least.

A Microsoft model can make accurate 10-day forecasts quickly, an analysis found. And, it’s designed to predict more than weather.

In real-life scenarios, long sequence time series forecasting (LSTF) has broad applications, such as electricity demand planning and abnormal weather prediction. In recent years, transformer-based ...

Photovoltaic Energy Production is a basic element of current energy systems. The transition to decentralized energy production which characterizes fast dynamics in the change of electricity ...

Learn More. Researchers at the University of Cambridge have developed a new weather forecasting model that can match the accuracy of older, more expensive models but do it cheaper and faster.

Improved weather forecasts with AI? The company that says its new model can beat the world's best The new model, called WeatherNext Gen, is not currently being used for public-facing weather ...