Large language models lack grounding in physical causality — a gap world models are designed to fill. Here's how three ...

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 ...

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 ...

Apart from the northward advance of killer bees in the 1980s, nothing has struck as much fear into the hearts of headline writers as the ascent of artificial intelligence. Ever since the computer Deep ...

“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 ...

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

Adnan Abbas is an ex-AI researcher with a deep expertise in building SOTA VLMs. He is the co-founder of Unsiloed AI. Large language models have dramatically expanded the surface area of what machines ...