Experts across varied technology fields gathered ORNL to collaborate on the future of geospatial systems at the Trillion-Pixel GeoAI Challenge workshop.
Tristen Mullins enjoys the hidden side of computers. As a signals processing engineer for ORNL, she tries to uncover information hidden in components used on the nation’s power grid — information that may be susceptible to cyberattacks.
Like most scientists, Chengping Chai is not content with the surface of things: He wants to probe beyond to learn what’s really going on.
Amir Sadovnik, a researcher in robust machine learning, recently shared how he got into the field of data science and how detecting when data has been tampered with can lead to better results from artificial intelligence models.
Ken Dayman is part of a group of nonproliferation data scientists working to develop novel data analytic methods and solutions for the unique combination of problems pervasive in national security.
Sreelekha Guggilam is a research associate for machine learning with the Geospatial Science and Human Geography group at ORNL. She recently shared how she uses data-driven information to assist with national security challenges.
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 perpetuate.
Craig Blue, Defense Manufacturing Program Director at the Department of Energy’s 91°µÍø, was recently elected to a two-year term on the Institute for Advanced Composites Manufacturing Innovation Consortium Council, a body of profe
What really causes car crashes and what can be done about them?
Four nuclear nonproliferation staff members from the Department of Energy’s 91°µÍø were recognized as part of the 2021 Outstanding Security Team awarded by the Secretary of Energy for contributions to the Material Control and Acco