Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI models. Unlike generative diffusion models, the team's Discrete Spatial ...

Nucleus4D has raised USD $1.5M in pre-seed funding to digitize real estate with 3D Gaussian splatting for AI world models | ...

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 ...

Spatial transcriptomics is a technology that, some say, will revolutionize the study of cells and tissues. It allows for transcriptomic analysis of cells with an additional layer of information about ...

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 ...

Given the current state of practice and visions for the future (including AI), certain practices should be reevaluated. This article draws on several (of many) resources which cover policy and ...

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 ...