Recent advancements in deep learning have revolutionised the processing and analysis of geospatial data, fuelling a new era of mapping and landscape analysis. By leveraging state‐of‐the‐art neural ...

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

Environmental sustainability refers to the conservation and management of natural resources to match the needs of present ...

Imagine the scene: You’re driving in an unfamiliar city and use Google Maps on your iPhone to get directions to your next meeting. But you don’t just want to know how to get from point A to point B.

Geospatial engineering combines principles of engineering, geography, and surveying to collect, analyze, and manage spatial data. Geospatial engineering involves surveying. Over time, the field of ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...

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.

This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.

No audio available for this content. NV5 is celebrating two decades of delivering critical geospatial services to the National Oceanic and Atmospheric Administration (NOAA). For the past 20 years, NV5 ...