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.

We are all citizens of watersheds, the terrestrial landscapes that determine how much water we have, how clean it is, where it goes, and how fast.

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.

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.

A PNNL researcher peers into the future and sees homes and neighborhoods seamlessly working together to coordinate energy use.

Scientists created a fast-track tutorial that equips a neural network to tackle drug discovery and other applications where there's a shortage of precisely labeled chemical data.

Researchers at PNNL are developing a new class of acoustically active nanomaterials designed to improve the high-resolution tracking of exploratory fluids injected into the subsurface. These could improve subsurface geophysical monitoring.

"It's sort of like using infrared goggles to see heat signatures in the dark, except this is underground." PNNL and CHPRC implemented a state-of-the-art approach to monitor the process of remediating residual uranium at Hanford's 300 Area.

Plug and Play DER Challenge seeks to enable distributed energy technologies to integrate, connect and operate in harmony on the power grid.

The vast reservoir of carbon stored beneath our feet is entering Earth's atmosphere at an increasing rate, according to a new study in the journal Nature.