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

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. 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 ...

Built on a new architecture KumoRFM-2 achieves state-of-the-art results across 41 predictive tasks and four major benchmarks, ...

Six-month, CTEL-led programme blends machine learning, deep learning and generative AI with hands-on projects and a three-day ...

R is regaining attention in 2026, especially in statistics-heavy and research-focused data science work.Python still leads in ...

A skin cancer diagnosis can seem to arrive out of nowhere. But buried in years of health records, prescription histories, and ...

Researchers developed an AI model that stabilizes molecular simulations under extreme conditions, enabling long, accurate ...

Read more about Artificial intelligence unlocks real-time insights into complex aquatic ecosystems on Devdiscourse ...

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