signified is a reactive programming library that implements two primary data structures: Signal and Computed. Both of these objects implement the Observer and Observable design patterns. This means ...

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

Approximate Computing (AxC) is being actively explored to meet the energy and performance requirements of resource-constrained embedded systems. Approximate arithmetic operators (AxOs), for instance, ...