PNNL-WSU Data Day
PNNL-WSU Data Day is a celebration of collaboration around data! Researchers from PNNL and WSU will be featured throughout the day with oral presentations, flash talks, and a poster session.
Stinis to Lead Two New Scientific Machine Learning Projects
Stinis will serve as a principal investigator on two of the four projects selected for funding by the Advanced Scientific Computing Research program.
Delivering Mighty Impact for DOE User Facility
ACMD staff contributed to 30 years of atmospheric data collection for the Department of Energy’s Atmospheric Radiation Measurement user facility.
Synergizing Techniques to Advance AI
PNNL researchers present challenges and opportunities for fusing graph neural networks with deep reinforcement learning.
Xu Joins the Editorial Board of Scientific Reports
Zhijie (Jay) Xu will apply his expertise in multiscale modeling to this editorial role.
Świrydowicz Receives Best Paper Award
The award was given at the 29th International Conference on Information, Communication and Automation Technologies.
Try This to Integrate Your Multi-Omics Data with Missing Values
Methods review suggests ways to use artificial intelligence and machine learning to handle missing data when integrating two or more omics approaches.
Facing Scientific Challenges? We’re Counting on It!
PNNL researchers outline open problems in different scientific areas in the Journal of Combinatorics.
Attarian Leads National Panel at GEOINT Conference
Adam Attarian led a new panel session, titled National Labs and the GEOINT Mission, at the GEOINT 2023 Symposium, held May 21–24, 2023.
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.