Machine Learning Accelerates Development of Advanced Manufacturing Techniques
Scientists are pioneering approaches in the branch of artificial intelligence known as machine learning to design and train computer software programs that guide the development of new manufacturing processes.
Karniadakis Named One of the Best Mathematics Scientists
Research.com ranked PNNL joint appointee George Karniadakis as one of the top mathematicians in the world.
Predicting Catalyst Degradation with Machine Learning
Robert Rallo from Pacific Northwest National Laboratory will direct a machine learning thrust for a new Department of Energy-funded project led by SLAC National Accelerator Laboratory.
Exploring Risks at the AI Research Frontier
Researchers from PNNL, CSET, and Google DeepMind delved into the potential risks of artificial intelligence in a roundtable discussion.
PNNL @ NeurIPS 2023
PNNL will be at the Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), Sunday, December 10 through Saturday, December 16.
Eddy Highlights AI, Analytics, Emergency Management
At the GovAI Summit 2023, Ryan Eddy joined the Department of Homeland Security Science and Technology Directorate on a panel highlighting artificial intelligence impacts and opportunities in the field of emergency management.
Developing Data Science Approaches for Nanoparticle Synthesis
Machine learning methods and data science can uncover hidden patterns in nanoparticle synthesis conditions and property outcomes.
Partnering with Educators to Inspire the Next STEM Generation
Pasco School District teachers join PNNL for an immersive teaching experience.
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.