How AI Inference Sends Decision Making To The Edge

The next phase of AI infrastructure will not be defined by a single destination called “the cloud” or “the edge.” ...
IEEE

An Efficient Bayesian Inference for Geo-Electromagnetic Data Inversion Based on Surrogate Modeling With Adaptive Sampling DNN

Abstract: The conventional geo-electromagnetic data inversions are mostly based on gradient optimization methods. However, this type of method can only provide a single “optimal” inverse model under ...
rowan

Robin Bayes

Dr. Bayes's research and teaching interests center on the political behavior and political psychology of everyday Americans, and particularly, how they process scientific information in order to form ...
IEEE

A Bayesian Network Inference Approach for Dynamic Risk Assessment Using Multisource-Based Information Fusion in an Interval Type-2 Fuzzy Set Environment

Abstract: The Bayesian network (BN) method has been identified as a research hotspot in dynamic risk assessment (DRA) for systems. The traditional BN inference process relies on crisp probabilities; ...