AI is moving faster and becoming more diverse than ever. The next competitive advantage may come from a new architecture.

AI’s spatial capabilities remain far from the human level, but tremendous progress has been made, writes Fei-Fei Li ...

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

A research team introduces a hierarchical Bayesian spatial approach that integrates UAV and terrestrial LiDAR data to estimate AGB of individual trees in natural secondary forests of northeastern ...

Physical AI converts terrain, drainage, soil variability and sunlight into structured inputs that can be simulated, ...

IEEE Spatial Web chair George Percivall explains how the recently-approved IEEE P2874 Spatial Web Standard complements existing Web and digital twins’ standards to guide the development of ...