The general problem of determining causal dependencies in an unknown time-evolving system from time series observations is of great interest in many fields. Examples include inferring neuronal ...

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 ...

Last Thursday, Meta announced the newest iteration of its large language model (LLM), Llama 3. The newest model will aim to dislodge OpenAI as the market leader through various improvements driven by ...

Use individual and team exercises to build skills for a dynamic systems approach. Engineered systems increasingly must exploit complex interactions between multiple domains—mechanical, electrical, ...

Scientists usually use a hypergraph model to predict dynamic behaviors. But the opposite problem is interesting, too. What if researchers can observe the dynamics but don't have access to a reliable ...

Uri Wilensky is the author of the NetLogo modeling software, which introduces complexity to students of all ages. Uri Wilensky: The world has grown very interconnected and complex, and to adapt to it, ...

Dynamic systems pays attention to patterns of change over time. Source: Drawing by A. Danvers “Personal histories are processes of change in time, and the change itself is one of the things ...

Juniper Lovato, Director of Outreach for Complex Systems, University of VermontLimits of individual consent and models of distributed consent in online social networksPersonal data is not discrete in ...