COVID-19 Operations
LivIT tackles challenges of workforce safety, telecommuting, cyber security protocols, National Ignition Facility software updates, and more.
COVID-19 R&D
From molecular screening, a software platform, and an online data to the computing systems that power these projects.
Deterrence in Cyberspace
LLNL’s cyber programs work across a broad sponsor space to develop technologies addressing sophisticated cyber threats directed at national security and civilian critical infrastructure.
Stefanie Guenther
Lawrence Livermore National Lab has named Stefanie Guenther as Computing’s fourth Sidney Fernbach Postdoctoral Fellow in the Computing Sciences. This highly competitive fellowship is named after…
Rafael Rivera-Soto
Rafael Rivera-Soto is passionate about artificial intelligence, deep learning, and machine learning technologies. He works in LLNL’s Global Security Computing Applications Division, also known as…
Marisa Torres
Marisa Torres, software developer with LLNL’s Global Security Computing Applications Division, combines her love of biology with coding.
Evaluating trust and safety of large language models
In two papers from the 2024 International Conference on Machine Learning, Livermore researchers investigate how LLMs perform under measurable scrutiny.
ISCP projects make machine learning advantages tangible
To keep employees abreast of the latest tools, two data science–focused projects are under way as part of Lawrence Livermore’s Institutional Scientific Capability Portfolio.
Department of Energy announces FASST initiative
The proposed Frontiers in Artificial Intelligence for Science, Security and Technology (FASST) initiative will advance national security; attract and build a talented workforce; harness AI for scientific discovery; address energy challenges; develop technical expertise necessary for AI governance.