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

As regular readers of this newsletter know, my primary focus over the past year has been to champion the importance of geodesy and to prepare the geospatial ...

In the past decade, cloud-scale analytics tools have transformed the digital fight against deforestation. Instead of manual ...

Urban gender-based violence (GBV) is not randomly distributed across city space, and new research shows that advanced geospatial machine learning can identify where risks concentrate with striking ...

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 ...

In recent years, Google has introduced two powerful embedding for spatial analysis: satellite imagery embeddings, which capture visual and environmental patterns from overhead imagery, and population ...

This study quantifies the nonlinear driving force of urban morphological factors on canopy urban heat island intensity (CUHII) in Anhui Province, integrating relocated meteorological station data, ...

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 freezing depth prediction model was constructed using machine learning, incorporating comprehensive data from ground meteorological monitoring stations and remote sensing reanalysis data. The ...

There’s a lot of confusion around what E-E-A-T (experience, expertise, authoritativeness, and trustworthiness) actually is – and what it isn’t. While often cited in SEO conversations, E-E-A-T is not a ...