Spatial data now underpin a wide array of critical applications from environmental monitoring and urban planning to public health management and resource allocation. Advances in geospatial ...

Given the current state of practice and visions for the future (including AI), certain practices should be reevaluated. This ...

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

Standardized data modeling has become essential within the continually changing environment of geospatial information systems (GIS). Organizations extensively use GIS to plan infrastructure and manage ...

Third, the AI industry itself will attempt to solve the spatial intelligence problem. Spatial intelligence is already a hot concept in the broader AI world. Companies such as NVIDIA and World Labs ...

Oak Ridge National Laboratory (ORNL) initiated an internal National Electric Generation Siting Study, which is an ongoing multiphase study addressing several key questions related to our national ...

GIS technology greatly enhances trade area analysis by enabling extraction, aggregation, and visualization of demographic and spatial data. Analysts can combine spatial layers with customer data to ...

Modern vision-language models allow documents to be transformed into structured, computable representations rather than lossy text blobs.