A multidisciplinary team of researchers from Oak Ridge National Laboratory (ORNL) and other institutions created a Machine Learning (ML) library for the training of classifiers on spectrographic chemical data.
The team conducted numerical studies to demonstrate the connection between the parameters of neural networks and the stochastic stability of DMMs.
David Dean, director of the Quantum Science Center headquartered at the U.S.
A team led by Oak Ridge National Laboratory scientists will receive a $6 million federal grant to design a more efficient form of artificial intelligence that fits on a microchip.
The fourth annual International Conference on Neuromorphic Systems, or ICONS, which took place virtually from July 27 to 29, assembled 175 participants scattered across four continents to attend live sessions, view
A research team from ORNL and Pacific Northwest National Laboratory has developed a deep variational framework to learn an approximate posterior for uncertainty quantification.
