Recent years have seen a proliferation of specialized ML accelerators—proposed in both academia (e.g., Gemmini, FEATHER) and industry (e.g., Google TPU, Intel AMX)—that depart significantly from ...

Simplified and flexible software for two-stage approach (dynamic pressure boundary conditions) to improve CO2 storage regional and site simulations. If you are interested in a specific version (e.g., ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...