Infinite dilution activity coefficient is a key thermodynamic parameter in solvent design for chemical processes. Although ...

A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

Prediction-powered inference integrates a small gold-standard dataset with a large auxiliary dataset informed by machine ...

NOTE. These are the baseline variables determined at treatment completion and included in the analysis. Abbreviations: CIN, cervical intraepithelial neoplasia; COPD, chronic obstructive pulmonary ...

Ionospheric delay remains a significant error source in GNSS positioning, particularly for single-frequency users and during periods of enhanced space weather ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits and suddenly, a molecule makes a promising new medicine. Normally, creating better ...

New AGI lab aims to revolutionize machine learning with symbolic models, moving beyond traditional deep learning.