Nature

‘World models’ are AI’s latest sensation: what are they and what can they do?

Training AI world models on data about physical environments could improve their real-world capabilities in technologies such ...
Journal of Medical Internet Research

Beyond Comparing Machine Learning and Logistic Regression in Clinical Prediction Modelling: Shifting from Model Debate to Data Quality

This viewpoint synthesizes recent comparative studies and simulation findings to argue that there is no universal best modelling approach. Model performance depends heavily on dataset characteristics ...
Frontiers

Can computational modeling in medical education support a constructionist educational framework? Insights from the seminal literature in Papertian constructionism and system ...

The impetus for this paper arose from our ongoing experience with a system dynamics (SD) course that we introduced into our medical curriculum with the objective of empowering our students with the ...
IEEE

Deep Recurrent Stochastic Configuration Networks for Modelling Nonlinear Dynamic Systems

Abstract: Deep learning techniques have shown promise in various domains. However, traditional methods can only demonstrate their universal approximation capability from an existential perspective, ...
The Lancet

Future-proofing cities against negative city mobility and public health impacts of impending natural hazards: a system dynamics modelling study

gTransport, Health, and Urban Systems Research Lab, Faculty of Architecture, Building, and Planning, University of Melbourne, Melbourne, VIC, Australia ...
IEEE

Data-Based Modeling and Control of the Nonlinear Aircraft System Using Extended Implicit Sparse Identification

Abstract: Modeling and controlling aircraft can be particularly challenging when the system is highly nonlinear or only partially understood. While data-driven approaches can be promising in this ...