Tackling Hard Governing Equations with Machine Learning
PNNL researchers combined deep operator networks with spectral methods to efficiently and accurately solve complex equations.
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.
PNNL @ NeurIPS 2023
PNNL will be at the Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), Sunday, December 10 through Saturday, December 16.
Machine Learning to Automate Red Teaming for Cyber-Physical Systems
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.
PNNL Team Taps Twitter to Explore Perspectives on COVID-19 Response
PNNL scientists have created a tool called WatchOwl to collect more than 4 million tweets per day related to the COVID-19 pandemic. The tool analyzes tweets related to interventions like social distancing and movement restrictions.
PNNL Researchers Make Splash with Machine Learning at SC19
At a conference featuring the most advanced computing hardware and software, ML in its various guises was on full display and highlighted by Nathan Baker’s featured invited presentation.