Large language models lack grounding in physical causality — a gap world models are designed to fill. Here's how three distinct architectural approaches (JEPA, Gaussian splats, and end-to-end ...

As cities around the world continue to expand and evolve, understanding the dynamics of the housing market becomes increasingly critical for urban planners, ...

The multi-level testing framework is designed across spatial relations, spatial scenes, and prompt engineering strategies, with standardized scripts ensuring normalization. Recently, the Journal of ...

Recent advances in AI and the release of ChatGPT have sparked new interest in AI as a tool. Agentized LLMs are the latest attempt to make highly-specialized AIs, and to avoid them going rogue. AI is ...

The importance of spatio-temporal data has increased significantly in various scientific fields, such as climate research, biodiversity, and the social sciences, primarily due to improvements in data ...

Large language models (LLMs) are transforming how enterprises operate, but their "black box" nature often leaves enterprises grappling with unpredictability. Addressing this critical challenge, ...

“Sparks of artificial general intelligence,” “near-human levels of comprehension,” “top-tier reasoning capacities.” All of these phrases have been used to describe large language models, which drive ...