Bayesian spatial statistics and modeling represent a robust inferential framework where uncertainty in spatial processes is explicitly quantified through probability distributions. This approach ...
Robbyant, an embodied AI company within Ant Group, today open-sourced LingBot-Depth, a high-precision spatial perception ...
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 ...
SAN FRANCISCO, CA / ACCESS Newswire / January 22, 2026 / Nucleus4D (Nucleus), a spatial computing company operating at the intersection of real estate, immersive media, and artificial intelligence, ha ...
Google DeepMind has released D4RT, a unified AI model for 4D scene reconstruction that runs 18 to 300 times faster than ...
UC Santa Cruz is launching a new Master of Arts program in Geographic Information Systems, Spatial Technologies, Applications, and Research (GISTAR), designed to meet the growing demand for expertise ...
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 ...
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