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 ...
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 ...
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 ...
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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