NEWS
Deep learning-based surrogate models outperform simulators and could hasten scientific discoveries
Surrogate models supported by neural networks could lead to new insights in complicated physics problems such as inertial confinement fusion.
CASC Newsletter | Vol 9 | June 2020
Highlights include response to the COVID-19 pandemic, high-order matrix-free algorithms, and managing memory spaces.
Lab team studies calibrated AI and DL models to more reliably diagnose and treat disease
A team led by an LLNL computer scientist proposes a deep learning approach aimed at improving the reliability of classifier models for predicting disease types from diagnostic images.