Math for Data Mining
Newly developed mathematical techniques reveal important tools for data mining analysis.
Sapphire
Drawing from data mining, image and video processing, statistics, and pattern recognition, these computational tools improve the way scientists extract useful information from data.
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.
Data Science Challenge tackles ML-assisted heart modeling
The event brought together 35 University of California students—ranging from undergraduates to graduate-level students from a diversity of majors—to work in groups to solve four key tasks, using actual electrocardiogram data to predict heart health.
Explainable artificial intelligence can enhance scientific workflows
Using explainable artificial intelligence techniques can help increase the reach of machine learning applications in materials science, making the process of designing new materials much more efficient.
VisIt project team adds color usability improvements
The Lab’s workhorse visualization tool provides expanded color map features, including for visually impaired users.