PNNL

Detecting Nuclear Threats with Artificial Reasoning

PNNL researchers use machine learning and data analytics to assist with detection of nuclear proliferation and nuclear material trafficking.

Strengthening Biopreparedness—Predicting the When, Where, and How of Infectious Diseases

To thwart pathogens, researchers in the epidemiology field of infectious disease (ID) prediction are continuously trying to forecast when, where, and how an ID event will occur.

Automating Expertise

Training Day

Taming Big Data Analytics Workloads

Gupta's Paper Designated 'Editors' Choice'

SEA-CROGS Selected for DOE Support

SEA-CROGS is one of four Mathematical Multifaceted Integrated Capability Centers selected for support by the Department of Energy.

Deep Learning Could Help Detect Nuclear Events Worldwide

Charles Joins International Editorial Board for One Health Research and Resources

Lauren Charles joins the CABI One Health Editorial Board as an associate editor.

Tumeo Takes Computational Chemistry to the Extremes

Tumeo will lead the ChemComp project, which was awarded for Exploratory Research in Extreme Scale Science