Ishaan Dokania, a sixth-grader from Oregon, is exploring lithium resource identification using satellite imagery and machine ...

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

A study published in Discover Artificial Intelligence used logistic regression, random forest and support vector machine (SVM ...

Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries? Theoretical ...

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

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)® ...

A strong foundation in mathematics plays a critical role in understanding artificial intelligence and adapting to ongoing technological change. Math underpins many machine learning basics, shaping how ...

Machine learning predicted activated clotting time during AF ablation, with deep learning achieving 81% accuracy.

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

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

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 ...

Steatotic liver disease (SLD), formerly named fatty liver disease, has a prevalence estimated at 30–38% in adults. Detection of SLD is important, since prompt initiation of treatment can stop disease ...