A team at the University of Tokyo has developed a new Bayesian neural network called VBayesMM, which can detect real biological relationships rather than random correlations.

Scientists have turned to advanced AI to decode the intricate ecosystem of gut bacteria and their chemical signals. Using a Bayesian neural network called VBayesMM, researchers can now identify ...

Consider the Takata airbag recalls that rocked the automobile industry and allegations of child slavery in chocolate supply chains. Supply chains have not only become more vulnerable to geopolitical ...

Abstract: In this study, train operations were modeled by Bayesian networks (BN), to use the probability essence of the BN to quantify their uncertainty (e.g., the epistemic and aleatoric uncertainty ...

The authors used a Bayesian modeling framework to fit behavior and serotonin neuron activity to reward history across multiple timescales. A key goal was to distinguish value coding from other ...

BitHide, the confidential cryptowallet for business, introduces Energy, a new feature that helps companies reduce TRON network fees by up to 30% and simplify cost management for USDT TRC-20 ...

Smeal College of Business, Pennsylvania State University, and University of Southern California report that exclamation point ...

Objectives High-dose rifamycin (HDR) regimens have demonstrated significant potential in tuberculosis (TB) treatment. This study aims to evaluate the efficacy and safety profile of different HDR ...

Abstract: The probabilistic Bayesian neural network(BNN) is good at providing trustworthy outcomes that is important, e.g. in intrusion detection. Due to the complex of probabilistic BNN, it is looks ...

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