Abstract: Flood prediction as we known is a important role in reducing the impacts of effective disasters . This paper says that a linear regression-based model is designed for forecasting flood ...

Abstract: Tabular data is the most prevalent form of structured data, necessitating robust models for classification and regression tasks. Traditional models like eXtreme Gradient Boosting (XGBoost) ...

Posts from this topic will be added to your daily email digest and your homepage feed. is the Verge’s weekend editor. He has over 18 years of experience, including 10 years as managing editor at ...

Water consumption by data centers and cryptomining facilities will be the focus of a new data-collection effort launched Friday by the Texas Public Utility Commission. Demand to build new data centers ...

Data centers have caused the demand for gas-fired power in the US to explode over the past two years, according to new research released Wednesday. More than a third of this new demand, the research ...

Driven by the artificial intelligence frenzy, Microsoft is internally projecting that water use at its data centers will more than double by 2030 from 2020, including in places that face shortages.