Recent research is advancing seismic hazard modeling through AI-driven soil liquefaction prediction, interpretable machine learning, physics-based simulations, and waveform-based probabilistic ...

A locally trained sepsis model shows early warning potential in acute care, but its accuracy varies by the sepsis definition used, and high false positives limit its clinical utility.

Researchers developed and validated a new lung cancer prediction model, Sybil-Epi, by integrating clinical and epidemiologic data with a pre-existing model.

The model, Muse Spark, performed better than Meta’s previous A.I. models but lags rivals on coding ability. By Eli Tan Reporting from San Francisco Meta on Wednesday unveiled a new flagship artificial ...

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The techniques that have served marketers for over fifty years are evolving rapidly, driven by artificial intelligence, increasing market volatility and a fundamental shift in what we expect ...

ABSTRACT: Accurate prediction of survey response rates is essential for optimizing survey design and ensuring high-quality data collection. Traditional methods often struggle to capture the complexity ...

Abstract: This paper discusses the development as well as the evaluation of a predictive model framework for the estimation of tree cover loss, an important problem that is associated with ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...