Unmanned aerial vehicles (UAVs), commonly known as drones, have revolutionized spatial data collection in recent years by offering flexible, low-cost platforms for aerial imagery and remote sensing.

It would have sounded quite improbable only a few years ago that a humanoid robot could fluently move from making coffee in a ...

Hangzhou’s AI ecosystem now spans everything from cutting-edge robotics to experimental apps built by solo founders.

Cardiovascular imaging, which continues to evolve alongside interventions and other technologies, made notable strides in the ...

Discover how integrating spatiotemporal resilience into unmanned systems can enhance their adaptability and performance. A ...

No dedicated mapping runs were scheduled. Yet Europe’s streets are beginning to generate more visual intelligence than ever before. The shift comes from an unexpected place: parcel delivery. Through a ...

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 ...

Accurate estimation of the ionosphere is essential for reliable Global Navigation Satellite System (GNSS) positioning, timing ...

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 ...