Rainfall prediction is fundamental to water resource management, agriculture, disaster mitigation and climate research. Traditional statistical approaches, such as linear regression and time-series ...

A few days before Christmas, Howard Qin was scrutinizing weather forecasts on two laptops at home in Shanghai when he noticed prices of contracts for New York City snowfall creeping higher on the ...

Forecasters were watching an area just south of the Great Lakes, where storms were expected to move through on Thursday afternoon and evening. Some Moderate High Source: National Weather Service The ...

The National Oceanic and Atmospheric Administration is teaching artificial intelligence models hundreds of years of weather data to modernize forecasting, an agency official said at a conference ...

Abstract: Weather prediction is essential across various domains, including agriculture, transportation, and disaster management, as it facilitates informed decision-making through reliable forecasts.

Cardiovascular disease (CVD) remains the foremost contributor to global illness and death, underscoring the critical need for effective tools that can predict risk at early stages to support ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...

An earnings forecast that proves to be even moderately off target on the low side can damage a company’s stock price in the short term, and the effects of big misses can last for weeks or months.

We may receive a commission on purchases made from links. Google's DeepMind just released WeatherNext 2, a new version of its AI weather prediction model. The company promises that it "delivers more ...

Gestational diabetes mellitus (GDM), a prevalent metabolic disorder associated with pregnancy, which often postpones intervention until after metabolic complications have developed. This study seeks ...