Bayesian spatial statistics and modeling represent a robust inferential framework where uncertainty in spatial processes is explicitly quantified through probability distributions. This approach ...

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 ...

Google DeepMind has released D4RT, a unified AI model for 4D scene reconstruction that runs 18 to 300 times faster than ...

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 ...

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 ...

We develop a spatial dynamic general equilibrium model of a small open agricultural economy to study the impact of global food, fuel and fertilizer price shocks on consumption patterns of ...