Understanding is often defined as the ability to form mental models of the world, reason about cause and effect, and predict ...

The latest core client library targets .NetStandard 2.0. The Microsoft Graph .NET Client Library supports the use of TokenCredential classes in the Azure.Identity library. You can read more about ...

Mixed-frequency time-frequency canonical correlation analysis (MF-TFCCA) is a method for identifying causal relationships between time series of different temporal resolutions.

What do you wonder? By The Learning Network A new collection of graphs, maps and charts organized by topic and type from our “What’s Going On in This Graph?” feature. By The Learning ...

The Graph price prediction anticipates a high of $0.419 by the end of 2025. In 2028, it will range between $0.978 and $1.12, with an average price of $1.05. In 2031, it will range between $1.68 and $1 ...

Finally, the focus on causality may introduce increased risks of unintended (and undetected) consequences. Causal AI, if based on flawed models or data, can lead to unintended negative outcomes.

Correspondence to Dr Benedict Daniel Michael, University of Liverpool Institute of Infection and Global Health, Liverpool L69 3BX, UK; benmic{at}liv.ac.uk Clinicians are increasingly recognising ...

Objective: This paper proposes a method for extracting brain functional network features based on directed transfer function (DTF) and graph theory. The method incorporates the extracted ... enabling ...

CausalXtract methodology combines network-based and information-based frameworks, which is shown to discover causal effects overlooked by classical Granger and Schreiber causality approaches. We ...