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 ...

Living organisms, our planet and even the entire universe are getting ever more complex with time. “Complex” doesn’t just mean “complicated”: it means that the parts of a system interact in ways that ...

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 ...

Demonstrating the applicability of αη across a diverse range of systems. These include a canonical dynamical system (Rössler attractor), simulation data for slow earthquakes (spring-slider system), a ...