Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...

Advancements in machine learning hold great promise for the analysis of multimodal neuroimaging data. They can help identify biomarkers and improve diagnosis for various neurological disorders.

Early detection of lung cancer through risk factor analysis can significantly improve outcomes. This study presents a novel machine learning approach to analyze risk factors and predict lung cancer ...

We also explored the use of two techniques (principal component analysis and RF feature importance) for reducing input dimensionality. With traditional machine learning methods and ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...

MICB and NOTCH4 were expressed in fibroblasts and endothelial cells, two cell types that play central roles in fibrosis and vasculopathy.

Below is Validea's guru fundamental report for STARBUCKS CORP (SBUX). Of the 22 guru strategies we follow, SBUX rates highest using our Multi-Factor Investor model based on the published strategy ...

COF Factor-Based Stock Analysis June 18, 2025 — 10:05 am EDT Written by John Reese for Validea -> ...

Designing, building, and applying new technologies—especially those that include artificial intelligence—can be a double-edged sword: powerful and enabling on the one hand, but potentially biased and ...

More information: Zhenghao Yin et al, Experimental quantum-enhanced kernel-based machine learning on a photonic processor, Nature Photonics (2025). DOI: 10.1038/s41566-025-01682-5 ...