Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...

New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...

FAYETTEVILLE, GA, UNITED STATES, January 29, 2026 /EINPresswire.com/ -- Accurate atmospheric temperature profiles are ...

Mizoram to introduce experience-based curriculum in schools to replace rote learning ...

Atmospheric aerosols influence climate forcing, air quality, visibility, and human health, but their properties vary widely across space and time. Satellite instruments equipped with multi-angle and ...

New analysis explains why Prosper’s macro forecasts often signal economic shifts weeks or months before prediction ...

Leadership in entrepreneurship continues to evolve as business priorities shift toward innovation, adaptability, and l ...

Drone technology is poised for remarkable progress across multiple domains that are vital for human development.

Fragments of DNA from long-extinct human relatives still circulate in modern genomes, and in some cases they do more than ...

Scientists report that they have developed a new machine-learning system designed to overcome challenges encountered in ...

The purpose of this article, therefore, is not to indulge in theoretical advocacy or to add another voice to the well-worn chorus pleading for curriculum change. Rather, it is to establish, through ...