Machine Learning
LLNL computer scientists use machine learning to model and characterize the performance and ultimately accelerate the development of adaptive applications.
![two CT images](/sites/default/files/styles/front_page_card/public/computed-tomography-llnl-project-card.png?itok=30VYYc3o)
CT Image Enhancement
Researchers are developing enhanced computed tomography image processing methods for explosives identification and other national security applications.
![diagram showing data relationships in a particle dataset](/sites/default/files/styles/front_page_card/public/data-intensive-llnl-project-card.png?itok=Cc8brihA)
Data-Intensive Computing Solutions
New platforms are improving big data computing on Livermore’s high performance computers.
![R&D 100 award logo for 2023](/sites/default/files/styles/front_page_card/public/2023-09/rd100-winner-logo-news.png?itok=0St1WXwh)
Lab scientists and engineers garner three awards for top inventions in R&D 100 competition
With this year’s results, the Lab has now collected a total of 179 R&D 100 awards since 1978. The awards will be showcased at the 61st R&D 100 black-tie awards gala on Nov. 16 in San Diego.
![closeup of a metal structure](/sites/default/files/styles/front_page_card/public/2023-08/rd100-2023-winner-news.png?itok=df-NMpZE)
R&D 100 winners for 2023 are announced
LLNL's zfp and Variorum software projects are winners. LLNL is a co-developing organization on the winning CANDLE project.
![hands on a keyboard superimposed with locks and numbers](/sites/default/files/styles/front_page_card/public/2023-08/anl-news-stock-comp.png?itok=Y4FCwgsi)
Making machine learning safer for biomedicine
Led by Argonne National Lab and including an LLNL collaborator, a research team aims to provide the security necessary to study life-threatening medical issues without violating patient privacy.