PNNL computer scientists joined international leaders in machine learning to present research to detect and address potential cybersecurity threats and devise epidemic interventions.

PNNL researchers are using explainable artificial intelligence to develop new ways to understand and interpret data for national security.

Several PNNL scientists contributed to the virtual Society of Toxicology meeting in March.

Vigorous and rapid air exchanges might not always be a good thing when it comes to levels of coronavirus particles in a multiroom building, according to a new modeling study.

For the second straight year, PNNL researchers are featured in a special edition of the Journal of Information Warfare. This issue explores the topic of macro cyber resiliency.

One year ago, Verizon announced a partnership that made PNNL the U.S. Department of Energy’s first national laboratory with Verizon 5G ultra-wideband wireless technology.

Explainable artificial intelligence—understanding and explaining the reasoning behind AI decisions—is a necessity for national security.

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.

Night shift work disrupts the natural 24-hour rhythms in the activity of certain cancer-related genes, making workers more vulnerable to damage to their DNA.

Explainable AI helps scientists understand and untangle the threads of information that the system uses to make choices or recommendations.

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.

As the COVID-19 pandemic continues, PNNL is offering support to its neighbors in the Mid-Columbia region and across Washington State.

New approach allows nonexperts to optimize control of a building's energy systems without adding computing power or proprietary software.

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.

PNNL scientists joined international leaders in artificial intelligence research to discuss the latest advances, opportunities, and challenges for neural information processing—the foundation for AI.

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.

E-cigarette exposure stresses and inflames the lungs of rats, compromising important quality control proteins, according to new research.

In a first-of-its-kind study, PNNL scientists are learning about how e-cigarettes can lead to changes in proteins at the molecular level that could contribute to disease or other health problems.

Data Scientist Sam Chatterjee to chair security and defense specialty group of the Society for Risk Analysis.

The workshop brought together 184 scientists to explore research opportunities for nuclear physics in artificial intelligence.