The authors find that contemporary GIS research increasingly integrates spatial statistics, modeling, and simulation to move ...

Molmo 2 is an 8B-parameter model that surpasses the 72B-parameter Molmo in accuracy, temporal understanding, and pixel-level ...

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 ...

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 ...

To address the trade-off between accuracy and cross-city generalization in traffic flow estimation, a research team from The ...

AI is moving faster and becoming more diverse than ever. The next competitive advantage may come from a new architecture.

Top AI researchers like Fei-Fei Li and Yann LeCun are developing world models, which don't rely solely on language.

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 ...

Scientists at Duke-NUS Medical School have developed two powerful computational tools that could transform how researchers ...

Recognized for its ability to execute and completeness of vision Alibaba Cloud, the digital technology and intelligence ...

Forests and plantations play a vital role in carbon sequestration, yet accurately monitoring their growth remains costly and labor-intensive.

It’s up to businesses to determine AI’s destiny—whether AI is used to shorten the traditional workday and improve work-life ...