Robbyant, an embodied AI company within Ant Group, today open-sourced LingBot-Depth, a high-precision spatial perception ...

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

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 ...

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

The Stanford researcher’s startup aims to build A.I. systems fluent in the physical world. Photo by Yui Mok - Pool/Getty Images So-called world models like Marble are central to Li’s vision of the ...

Soil erosion is a key hydro-geological hazard and a primary cause of land degradation around the world, and it is increasing due to the combined pressures ...

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 ...

Ars Technica has been separating the signal from the noise for over 25 years. With our unique combination of technical savvy and wide-ranging interest in the technological arts and sciences, Ars is ...

Modern vision-language models allow documents to be transformed into structured, computable representations rather than lossy text blobs.