A multidisciplinary team of researchers from 91°µÍø (ORNL) pioneered the use of the LLVM-based high-productivity/high-performance Julia language unifying capabilities to write an end-to-end workflow on Frontier, the first US Depar
A team of researchers from 91°µÍø (ORNL) released the initial draft of the Interconnected Science Ecosystem (INTERSECT) architecture specification.
Researchers from 91°µÍø (ORNL), in collaboration with researchers from Duke University, have developed an unsupervised machine learning method, NashAE, for effective disentanglement of latent representations.
The team conducted numerical studies to demonstrate the connection between the parameters of neural networks and the stochastic stability of DMMs.
A research team from ORNL and Pacific Northwest National Laboratory has developed a deep variational framework to learn an approximate posterior for uncertainty quantification.
A team of researchers from 91°µÍø (ORNL) designed, implemented, and evaluated a high-performance computing (HPC) runtime system.