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.

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 ...

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 ...

A machine learning model utilizing longitudinal electronic diary data can accurately forecast the likelihood of next-day migraine attacks.

This presentation explores how machine learning can be used to model storm surge hazards at continental and global scales. Participants will learn why broadscale storm surge information is important ...

Quantum computers promise to solve problems that stump even the most powerful supercomputers, but the machines themselves are ...

I'm not sure whether to solve this with generative AI or traditional machine learning.' I receive this inquiry very often these days.I believe the background to this is that 'AI' has come to almost ...

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

A new review in the Journal of Materials Science maps how machine learning, from graph neural networks to large language models, is accelerating the design of high-entropy alloy catalysts across vast ...