This valuable study investigates the neural basis of causal inference of illness, suggesting that it relies on semantic networks specific to living things in the absence of a generalized ...

The brain is thought to generate internal predictions, based on previous statistical regularities in the environment, to optimise behaviour. Predictive processing has been repeatedly demonstrated and ...

Researchers uncovered evidence that early Neolithic farming communities in Central Europe lived without hierarchy.Credit: João Carvalho / Wikimedia Commons CC BY-SA 3.0 A new study suggests that ...

Based on empirical evidence of the relationship between motivation and performance ... Along with the statistical analyses [conjoint analysis, analytical hierarchy processes (AHP) and constant-sum ...

Municipalities across the U.S. have been safely adding fluoride to their tap water for decades, and reams of data prove the mineral has worked wonders in strengthening enamel and preventing tooth ...

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical ...

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical ...

They’re also looking for evidence that ancient Mars once supported microbial life billions of years ago when the planet had lakes and rivers. The features of the valley, located in the foothills ...

In a stunning misstep, OpenAI engineers accidentally erased critical evidence gathered by The New York Times and other major newspapers in their lawsuit over AI training data, according to a court ...

This chapter focuses on causal inference in healthcare, emphasizing the need to identify causal relationships in data to answer important questions related to efficacy, mortality, productivity, and ...