A new approach developed by PNNL scientists improves the accuracy of patient diagnosis up to 20 percent when compared to other embedding approaches.

Scientists at PNNL are bringing artificial intelligence into the quest to see whether computers can help humans sift through a sea of experimental data.

The U.S. Department of Energy’s Pacific Northwest National Laboratory (PNNL) is the recipient of two R&D 100 awards and one gold medal.

A new drug delivery method designed by researchers at PNNL and Washington State University (WSU) has shown it can target and kill lung cancer cells.

In today’s digital age, the rabbit hole of connected information can be not only a time sink, but downright overwhelming. Even for high-performance computers.

Twenty-four analysts from U.S. intelligence organizations met in August for a machine learning activity with PNNL researchers Nicole Nichols, Jeremiah Rounds, Lawrence Phillips, and Brian Kritzstein.

Three powerhouses in the realm of artificial intelligence have become partners in a new research center created by the U.S. Department of Energy.

Trouble on the electric grid might start with something relatively small: a downed power line, or a lightning strike at a substation. What happens next?

Pacific Northwest National Laboratory is leading efforts to address next-generation computing’s critical role in protecting the nation from cybersecurity threats.

PNNL researchers are developing the only tool that can control large-scale distributed energy resources in real time.

The inner Salish Sea’s future response to climate change, while significant, is predicted to be less severe than that of the open ocean based on parameters like algal blooms, ocean acidification, and annual occurrences of hypoxia.

When two powerful earthquakes rocked southern California earlier this month, officials’ attention focused, understandably, on safety. How many people were injured? Were buildings up to code? How good are we at predicting earthquakes?

Scientists have taken one of the most detailed looks ever at levels of soluble amyloid beta in the brain.

PNNL scientist Wei-Jun Qian and colleagues have contributed to a study that offers clues for delaying or even preventing the autoimmune attack that’s at the core of type-1 diabetes.

Researchers at PNNL are applying deep learning techniques to learn more about neutrinos, part of a worldwide network of researchers trying to understand one of the universe’s most elusive particles.

PNNL researchers today published a pair of papers, in Cell and in Nature, exploring the effects of the gut microbiome on our health, including autism, brain function, and inflammatory bowel disease.

His patents involve novel MS and IMS technologies that, in the end, have enabled a deeper understanding of living systems.

PNNL researchers have devised a way to measure and distinguish tiny amounts of phosphorylated proteins, an approach that could be used in research to help treat diseases such as diabetes and cancer.

The structure of a fundamental electrical switch in the brain has been revealed, thanks to PNNL researchers working together with counterparts at Oregon Health & Science University (OHSU).

PNNL scientists have taken one of the most in-depth looks ever at the riot of protein activity that underlies colon cancer and have identified potential new molecular targets to try to stop the disease.