Top AI researchers like Fei-Fei Li and Yann LeCun are developing world models, which don't rely solely on language.
The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...
The authors find that contemporary GIS research increasingly integrates spatial statistics, modeling, and simulation to move ...
Data Factor, New Quality Productive Forces, Industry-University-Research Cooperation, Industrial Structure Optimization Share ...
LEOMs like open-source Clay automate detailed Earth mapping, enabling rapid analysis for research, government, business.
To address the trade-off between accuracy and cross-city generalization in traffic flow estimation, a research team from The ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Spatiotemporal Variability, Geospatial Analysis, Sustainable Development Goals (SDGs) Share and Cite: Hart, L. , Garuba, L. , Jackson, K. and Oba, T. (2025) Impact of Geomagnetic Parameter of ...
An interactive toolbox for standardizing, validating, simulating, reducing, and exploring detailed biophysical models that can be used to reveal how morpho-electric properties map to dendritic and ...
Our thoughts are specified by our knowledge and plans, yet our cognition can also be fast and flexible in handling new information.
Realsee3D is a large-scale multi-view RGB-D dataset designed to advance research in indoor 3D perception, reconstruction, and scene understanding. Large Scale: 10,000 unique indoor scenes, comprising ...
China is accelerating efforts to replace Europe’s ERA5 weather dataset with a domestic alternative built for AI forecasting.
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