Abstract: Accurate and interpretable fault diagnosis of wind turbines (WTs) is critical for ensuring reliable and efficient operation. However, existing model-driven and data-driven approaches often ...
Xiaomi just used an internal awards ceremony to make a very public statement about where it thinks its future is headed. At a company-wide technology awards event held in China yesterday, Xiaomi ...
A Graph Neural Network Charge Model Targeting Accurate Electrostatic Properties of Organic Molecules
School of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne NE1 7RU, U.K. Kuano, Hauxton House, Mill Scitech Park, Mill Lane, Cambridge, England CB22 5HX, U.K. Department ...
ABSTRACT: The global financial landscape is increasingly becoming interconnected, with financial markets exhibiting complex interdependencies. This increases the possibility of market risk spreading ...
ABSTRACT: Media convergence practice has gained the attention of scholars in the past two decades. Several scholars have examined how media convergence is practiced within different contexts. This ...
According to @transformercircuits, attribution graphs have been developed as a method to address persistent challenges in AI model interpretability. Their recent publication explains how these graphs ...
Google published details of a new kind of AI based on graphs called a Graph Foundation Model (GFM) that generalizes to previously unseen graphs and delivers a three to forty times boost in precision ...
Abstract: Estimation of the conditional independence graph (CIG) of high-dimensional multivariate Gaussian time series from multi-attribute data is considered. Existing methods for graph estimation ...
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