By analyzing the archival data from the Atacama Large Millimeter/submillimeter Array (ALMA), an international team of ...

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 ...

In this video, we break down how GPS determines your position using satellite timing, atomic clocks, and distance calculations. We also explore the real world sources of error, from atmospheric ...

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

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 ...

Spatiotemporal Variability, Geospatial Analysis, Sustainable Development Goals (SDGs) Share and Cite: Hart, L. , Garuba, L. , ...

ION – an AI-powered indoor-outdoor navigation and spatial intelligence system already deployed in hospitals, museums, convention centers, and large private venues – transforms complex spaces into ...

We extend conventional residual connection from the model level to the data level area, and present for the first time a simple yet effective, theoretically grounded residual connection design for ...

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

In the race to deliver faster, smarter, and more resilient networks, CSP and telco leaders are finding a powerful ally in ...