A new study by Justin Grandinetti of the University of North Carolina at Charlotte challenges one of the most dominant narratives in artificial intelligence: that modern AI systems are inherently ...

April 15, 2026) - digna has announced Release 2026.04 of its data quality and observability platform, introducing new capabilities in time-series analytics and validation standardization designed to ...

The Atlantic current system, or more formally the Atlantic Meridional Overturning Circulation (AMOC), is more likely to ...

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale.

Conclusions: Our findings suggest that Medicare inpatient encounters are associated with higher coding intensity than commercially insured, Medicaid, or self-pay inpatient encounters for those same ...

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale. By integrating daily ...

Using six gut- and diet-derived metabolites, a machine learning model had 79% accuracy in classifying adults as having ...

Detection decisions (red for absence, blue for presence) are based on the disjunctive integration rule (disjunction and negation of disjunction). Confidence decisions (dashed line for not sure, full ...

A team of researchers presents a novel interdisciplinary strategy to tackle the complex challenge of Scope 3 emissions within the automotive manufacturing sector. With global climate change concerns ...

Interactions between genetic loci might reduce the power to detect genetic effects in genetic association studies, if these interactions are not allowed for. Statistical interaction corresponds to a ...

Methane is the second most important anthropogenic greenhouse gas after carbon dioxide, with a global warming potential roughly 28–34 times greater over a 100-year timescale. Major sources include ...