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 ...

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

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

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 ...

A UC Berkeley team used Apache Spark ML to predict airline delays at scale, training models on millions of flight records and ...

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

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 ...

Federal scientists announced a new artificial intelligence tool that can forecast drought conditions 90 days ahead across the entire United States, marking a significant step in how the government ...

Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...

Harvard University is offering free online courses for learners in artificial intelligence, data science, and programming.

Young, T. , Guymon, J. , Pankow, M. and Ngaile, G. (2026) A Material Removal Prediction Framework for Ball EEM Polishing in ...