Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

This study provides insights into traffic rule violations among vulnerable road users, using mobile sensing and spatial ...

The IMF study shows that satellite data such as nighttime lights, air pollution, and vegetation health, when combined with machine-learning models, can reliably estimate Cambodia’s GDP growth in near ...

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

From a practical lens and audience-first perspective, the featured program reveals how modern approaches in geospatial analysis turn information into tangible results for places and people.

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

Abstract: In recent years, geospatial artificial intelligence (GeoAI) has gained traction in the most relevant research works and industrial applications, while also becoming involved in various ...

A map has revealed America’s “epilepsy belt,” highlighting how some states in particular see higher rates of the neurological condition among older adults. The first-of-its kind nationwide study ...

A first-of-its-kind nationwide study has mapped epilepsy incidence rates among older adults in the United States and identified key social and environmental factors associated with the neurological ...

A first-of-its-kind nationwide study has mapped epilepsy incidence rates among older adults in the United States and identified key social and environmental factors associated with the neurological ...