PNNL computer scientists joined international leaders in machine learning to present research to detect and address potential cybersecurity threats and devise epidemic interventions.
Michael Henry, a senior data scientist at PNNL, has accepted a joint appointment at the Texas A&M University RELLIS Center for Applied Research and Experiential Learning.
PNNL data scientists Henry Kvinge and Ted Fujimoto presented their research on few-shot learning and reinforcement learning, respectively, at workshops during the 2021 AAAI Conference on Artificial Intelligence.
The partnership to apply artificial intelligence to improve complex systems is part of a U.S. Department of Energy Office of Science $4.2 million, three-year grant.
Red teaming for CPS, the process of challenging systems, involves a group of cybersecurity experts to emulate end-to-end cyberattacks following a set of realistic tactics, techniques, and procedures.
The project received an Innovative and Novel Computational Impact on Theory and Experiment (INCITE) award, a highly competitive U.S. Department of Energy Office of Science program.
PNNL ocean engineer Alicia Gorton was invited to serve on the advisory board of the Department of Civil, Environmental, and Ocean Engineering at the Stevens Institute of Technology.
PNNL scientists Larry Berg, Susannah Burrows, Nicholas Ward, and Yun Qian were named among the most outstanding journal reviewers by the American Geophysical Union.
Alicia Gorton, marine scientist and project manager in the PNNL’s Coastal Sciences Division, has joined the editorial board of the Marine Technology Society Journal.
