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PROJECTS
Legacy
LOCAL
This project's techniques reduce bandwidth requirements for large unstructured data by making use of data compression and optimizing the layout of the data for better locality and cache reuse.
Legacy
Machine Learning
LLNL computer scientists use machine learning to model and characterize the performance and ultimately accelerate the development of adaptive applications.
CT Image Enhancement
Researchers are developing enhanced computed tomography image processing methods for explosives identification and other national security applications.
NEWS
LLNL, Amazon partner on groundbreaking AI integration at the National Ignition Facility
LLNL and Amazon Web Services are partnering to leverage the power of AI to enhance operations at the National Ignition Facility.
Stanford professor discusses future of visually intelligent machines and human-AI collaboration
Stanford University professor and AI visionary Fei-Fei Li went beyond technical milestones from her two-decade career into her philosophy of intelligence, ranging from the evolution of vision in the Cambrian Age to modern-day “robot cousins” that can see and assist humans in everyday menial tasks.
LLNL researchers use AI to look for potential ALS treatments
A team of researchers from LLNL, Stanford University, and UCLA are using AI and machine learning to find potential treatments for amyotrophic lateral sclerosis and other neurodegenerative diseases in the form of drugs prescribed for other conditions.