Mapping populations to keep people safe
Through advances in artificial intelligence, Oak Ridge National Laboratory is transforming geospatial analytic methods in support of information exploitation and dissemination into geospatial intelligence (GEOINT) foundational data layers.
With core strengths in machine learning for high-performance computing, geoassurance, probabilistic reasoning, and spatio-temporal analytics, we are developing geospatial artificial intelligence (GeoAI) methods focused on several key research areas.
Trillion Pixel Challenge
In June 2023, we hosted our 3rd Trillion Pixel Challenge, an interdisciplinary gathering of experts from image science, computer vision, high-performance computing, architecture, machine learning, advanced workflows, and end-user communities to discuss the way forward in scaling multimodal GeoAI.
We're a multidisciplinary team
To deliver our mission, we need dedicated, mission-driven researchers with expertise in electrical engineering, applied mathematics, computer engineering, statistics, computer science, data science, and more!
In addition to these academic backgrounds, our team has expertise in Artificial Intelligence, Probabilistic Reasoning, Computer Vision, Risk Analysis, Visual Analytics, High-Performance Computing, Geographic Information Science, Ontology Reasoning, and Remote Sensing.
Exploring complex geospatial analytic workflows
Keeping people safe
Our deep-learning methods underlie a critical geographic dataset used during hurricane response efforts
ORNL tools help ensure energy supply
ORNL researchers developed a mobile system to quickly detect objects and analyze images following disasters