PNNL Staff Featured on U.S. Department of Energy Podcast
Two PNNL team members, Courtney Corley, a data scientist, and Kyle Bingman, an advisor on assured artificial intelligence (AI), were featured on a recent episode of the U.S. Department of Energy Direct Currents podcast.
Synthetic Data and Graph Generation for Modeling Adversarial Activity – Final Project Report
PNNL Data Scientists Co-Author Book Chapter about User Engagement with Deceptive News on Social Media
PNNL data scientists Maria Glenski and Svitlana Volkova have contributed a chapter to a book titled Disinformation, Misinformation, and Fake News in Social Media: Emerging Research Challenges and Opportunities.
PNNL @ NeurIPS 2020
PNNL data scientists and engineers will be presenting at NeurIPS, the Thirty Fourth Conference on Neural Information Processing Systems, and the co-located Women in Machine Learning workshop, WiML.
Keeping a Data Analytics Conference Current
Long-term PNNL support has helped enable the continued success of the Chesapeake Large-Scale Analytics Conference.
National Laboratory Pulls Together to Address the COVID-19 Pandemic
PNNL has increased the nation’s capacity to test for COVID-19, demonstrating that reagents and equipment from additional manufacturers meet the standards needed to yield accurate test results.
A New Look at One of the Most Abundant Particles in the Universe
Researchers at PNNL are applying deep learning techniques to learn more about neutrinos, part of a worldwide network of researchers trying to understand one of the universe’s most elusive particles.
Enhanced Detection of Nuclear Events, Thanks to Deep Learning
Scientists are exploring the use of deep neural network to interpret highly technical data related to national security, the environment and the cosmos.