While contemporary AI achieves impressive feats, crafting human-like prose, recognizing complex patterns and mastering games, it obscures a fundamental limitation.

Adam Skinner and colleagues used dynamic Bayesian network analysis to infer the complex causal networks that link social determinants to mental health in a nationally representative sample, consisting ...

Mental illnesses are thought to be caused by both biological and environmental factors in complex interaction.

Mental illnesses are thought to be caused by both biological and environmental factors in complex interaction. Among the environmental contributors ...

Access to generative AI can certainly lighten the mental load but the impressive short-term gains it affords may come with a hidden cost.

Mental illnesses are thought to be caused by both biological and environmental factors in complex interaction. Among the ...

Understanding mental illness requires understanding psychiatric disorder causality. New brain research explores this in ...

The bold question-askers at What If look at how Einstein’s theories help us understand time loops in the modern era.

Hierarchical Reasoning Models (HRM) tackle complex reasoning tasks while being smaller, faster, and more data-efficient than large AI models.

Mike: Nearly every analog instrument uses the 4-20 mA loop. Field transmitters, positioners, and variable frequency drives ...