A machine learning model was developed to predict the oxidation resistance of Ti-V-Cr burn-resistant titanium alloy, and the natural logarithm of the parabolic oxidation rate constant ( lnk p ) was ...

HSBC says it’s designed a machine-learning model to predict the direction of the most important financial instrument in global markets.

A precise streamflow forecast is crucial in hydrology for flood alerts, water quantity and quality management, and disaster preparedness. Machine learning (ML) techniques are commonly employed for ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Google just released version 3 of its WeatherNext model, with the biggest change being that it now ingests some satellite weather data, shortening the lag time between current weather conditions and ...

Why accuracy and strong backtests can mislead in ML—and why reproducibility, leakage-safe validation, and economic evidence ...

Introduction A few years ago, I was in charge of demand forecasting models at my company. Even though the accuracy was decent ...

ARLINGTON, Va. – U.S. military researchers are approaching industry for new ways of modeling complex, dynamic systems for predicting collective human behavior that overcome challenges that so far have ...

I ML deployment is different from cloud CI/CD. Learn how site-aware validation, versioned models, staged rollouts, and ...

The Family Heart Foundation, a leading research, education and advocacy organization, today announced the publication of a new peer-reviewed study in JACC: Advances demonstrating how its FIND Lp(a)® ...

Researchers have developed a machine learning-based method to identify chemical compounds that can safely repel honey bees from pesticide-treated crops.

International student mobility has long been described as one of the most globalised flows of people in the modern world, ...