Dynamical systems theory provides a unifying mathematical framework for understanding how complex phenomena evolve over time. By employing differential and difference equations, researchers can ...

A research team has developed a novel method for estimating the predictability of complex dynamical systems. Their work, "Time-lagged recurrence: A data-driven method to estimate the predictability of ...

Simple models of contagions tend to assume random mixing of elements (e.g. people), but real interactions are not random pairwise encounters: they occur within clearly defined higher-order structures ...

The University of Washington will lead a new artificial intelligence research institute that will focus on fundamental AI and machine learning theory, algorithms and applications for real-time ...

Complex systems such as metabolic pathways, ecosystems, the Internet, or human societies are comprised of large numbers of components that interact according to rules that change over time and that ...

The University of Washington will lead a new artificial intelligence research institute that will focus on fundamental AI and machine learning theory, algorithms and applications for real-time ...