Using a variety of analogy puzzles, SFI researchers have shown that the reasoning abilities of OpenAI’s GPT-4 model fall ...

This brief essay reviews an approach to defining and then detecting the emergence of complexity in nonlinear processes. It is, in fact, a synopsis of Reference [1] that leaves out the technical ...

Using a variety of analogy puzzles, SFI researchers have shown that the reasoning abilities of OpenAI’s GPT-4 model fall short when faced with small changes. Recognizing the limitations of these tools ...

Proceedings of the National Academy of Sciences of the United States of America ...

Predicting how ecological communities will respond to disturbances is notoriously challenging, especially given the variability in species' responses within the same community. Focusing solely on ...

The computation of reliable, chemically correct atom maps from educt/product pairs has turned out to be a difficult problem in cheminformatics because the chemically correct solution is not ...

Policy Points Cell and gene therapies (CGTs) offer treatment for rare and oftentimes deadly disease, but their prices are high, and payers may seek to limit spending. Total annual costs of covering ...

The scale and terms of borrowing in an economy depend on the manner in which wealth is distributed across potential creditors with heterogeneous beliefs about the future. This distribution evolves ...

Burrows, Dominic R. W.; Giovanni Diani; Birgit Pimpel; Dani S. Bassett et al. Neuronal activity propagates through the network during seizures, engaging brain dynamics at multiple scales. Such ...

We study a nonlinear bounded-confidence model (BCM) of continuous-time opinion dynamics on networks with both persuadable individuals and zealots. The model is parameterized by a nonnegative scalar ', ...

We investigate the impact of noise on parameter fitting for an Ornstein-Uhlenbeck process, focusing on the effects of multiplicative and thermal noise on the accuracy of signal separation. To address ...