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.

PNNL’s Intelligent Load Control technology manages and adjusts electricity use in buildings when there’s peak demand on the power grid.

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.

A PNNL technology enables automated Economic Dispatch, which coordinates the use of energy in a manner that enhances distributed generation, efficiency, renewables, and grid reliability.

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.

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).