New Machine Learning Tool Tracks Urban Traffic Congestion
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.
m/q Initiative
PNNL is heavily engaged in the development and use of mass spectrometry technology across its science, energy, and security missions, from fundamental research through mature operational capabilities.
PNNL Scientist Encourages Student Competitors to Embrace AI at Nationals
PNNL chemist and AI scientist Nancy Washton invited to present on AI literacy at National Science Bowl.
PNNL Chief Data Scientist Participates in the National Academies Forum Workshop
Lauren Charles, a chief data scientist at PNNL, showcased the vital research coming out of her program at The National Academies Forum workshop in Washington, D.C., January 15–16, 2025.
Chatterjee Elected President of SRA’s Resilience Analysis Specialty Group
The Resilience Analysis Specialty Group is part of the Society for Risk Analysis, the premier international society for risk analysis professionals.
VerWey Selected to Moderate Panel at SCSP AI+ Compute & Connectivity Summit
John VerWey, an advisor in the Mission Alignment group at PNNL, has recently been selected to lead a panel discussion at the inaugural Special Competitive Studies Project (SCSP) AI+ Compute & Connectivity Summit.
An Electric Grid That Thinks Ahead
Researchers are planning for an electric grid that deploys machine learning to think ahead, plan for the worst, anticipate demand, and meet consumer needs safely and securely.
Rapid Analytics for Disaster Response
PNNL combines AI and cloud computing with damage assessment tools to predict the path of wildfires and quickly evaluate the impact of natural disasters, giving first responders an upper hand.
Chris Vernon Joins Editorial Board of Nature's Scientific Data Journal
His expertise in data science and commitment to open science will drive dataset dissemination and advance collaborative global research efforts.