Input from humans helps when deciding whether to trust the recommendations or decisions of a machine-learning system.

Using public data from the entire 1,500-square-mile Los Angeles metropolitan area, PNNL researchers reduced the time needed to create a traffic congestion model by an order of magnitude, from hours to minutes.

Researchers at PNNL are contributing artificial intelligence, machine learning, and app development expertise to a U of W project that will ease challenges with urban freight delivery. The project will provide delivery drivers with a tool

Grid modernization, improved energy storage goals of agreement between PNNL and East Coast energy company.

PNNL will lead two new projects to advance resilient distribution systems and partner on three additional demonstrations aimed at validating new approaches and technologies to make the aging grid more resilient and secure.

PNNL chief engineer, Jeff Dagle, helps roll out National Academies report on grid resilience.

PNNL is helping to create open-access power grid datasets for use in testing new grid technologies.

PNNL researchers get new opportunities to shape the country’s power grid for the future.