Software Flaws Sometimes First Reported on Social Media
Software vulnerabilities are likely to be discussed on social media before they’re revealed on a government reporting site, a practice that could pose a national security threat, according to computer scientists at PNNL.
Machine Learning Scientists Teach Computers to Read X-Ray Images
PNNL researchers used machine learning to develop a tool for a nonprofit to identify orthopedic implants in X-ray images to improve surgical speed and accuracy.
Charles Joins Editorial Board of International Journal, Pathogens
Lauren Charles, a PNNL senior data scientist, has joined the editorial board of Pathogens. Pathogens is an international peer-reviewed open access journal of pathogens and pathogen-host interaction.
Help Wanted: The Cybersecurity Workforce of the Future Starts with Students Today
Today’s critical infrastructure systems are increasingly vulnerable to attacks that could cripple civil society, according to cybersecurity experts.
Ang Moderates Workshop Panel
James A. Ang, a PNNL computing expert, was recently invited to moderate a panel in a virtual workshop focused on federally funded research and development on software for heterogeneous computing.
Keeping America Safe: Mark Hadley
In a new video series, PNNL is highlighting six scientific and technical experts in the national security domain throughout the fall. Each was promoted to scientist and engineer level 5 earlier this year.
The Internet of Things Brings a Web of Promises and Perils to the Smart Grid, Experts Say
PNNL researchers established an Internet of Things Common Operating Environment (IoTCOE) laboratory to explore the risks associated with IoT connectivity to the internet, the energy grid and other critical infrastructures.
Two PNNL Researchers Elected to Membership in the National Academy of Engineering
PNNL's Ruby Leung and Johannes Lercher elected to membership in the National Academy of Engineering.
Novel Computing Tool Learns the Language of Chemistry
ChemReasoner combines decades of chemistry knowledge with large language models to propose strategies for effective new catalysts.
Solving Scientific Problems with Institutional Collaborations
Brown University Applied Mathematics and Engineering Professor George Karniadakis has driven solutions for science and engineering problems for over ten years with a joint appointment at PNNL.