
When geoinformatics engineering researchers at the Department of Energy’s Oak Ridge National Laboratory wanted to better understand changes in land areas and points of interest around the world, they turned to the locals — their data, at lea
When geoinformatics engineering researchers at the Department of Energy’s Oak Ridge National Laboratory wanted to better understand changes in land areas and points of interest around the world, they turned to the locals — their data, at lea
Experts across varied technology fields gathered ORNL to collaborate on the future of geospatial systems at the Trillion-Pixel GeoAI Challenge workshop.
Sreelekha Guggilam is a research associate for machine learning with the Geospatial Science and Human Geography group at ORNL.
Using disinformation to create political instability and battlefield confusion dates back millennia. However, today’s disinformation actors use social media to amplify disinformation that users knowingly or, more often, unknowingly per
ORNL took home the top prize in two categories at the inaugural DOE GIS Day in November 2022, including the Best Geospatial Sci
The Autonomous Systems group at ORNL is in high demand as it incorporates remote sensing into projects needing a bird’s-eye perspective.
A team of researchers from ORNL has created a prototype system for detecting and geolocating damaged utility poles in the aftermath of natural disasters such as hurricanes.
Protecting data is an active choice for people who want to benefit from machine learning technology, such as improved Google services, while protecting their information from unintentional disclosures.
Vandy Tombs has always been intentionally protective of her personal data.