How the brain solves complicated problems
Study shows humans flexibly deploy different reasoning strategies to tackle challenging mental tasks — offering insights for building machines that think more like us.
Study shows humans flexibly deploy different reasoning strategies to tackle challenging mental tasks — offering insights for building machines that think more like us.
Forget optimists vs. Luddites. Most people evaluate AI based on its perceived capability and their need for personalization.
Sendhil Mullainathan brings a lifetime of unique perspectives to research in behavioral economics and machine learning.
Study shows how a dopamine circuit enables mice to extinguish fear after a peril has passed, opening new avenues for understanding and potentially treating fear-related disorders.
A study on ride-sharing opens a window into consumer behavior, measuring the benefits for businesses.
Upon infection, the C. elegans worm reshuffles the roles of brain cells and flips the functions of some of the chemicals it uses to regulate behavior.
MIT Sloan’s Christopher Palmer has produced new insights about household finance, thanks to razor-sharp empirical studies.
Experiments find debate training boosts careers by enhancing assertiveness and communications techniques.
Philosopher Kevin Dorst’s work examines how we apply rational thought to everyday life.
New research adds evidence that learning a successful strategy for approaching a task doesn’t prevent further exploration, even if doing so reduces performance.
An MIT affiliate for some 60 years, Schneider was an authority on the relationships between brain structure and behavior.
By studying the roundworm C. elegans, neuroscientist Steven Flavell explores how neural circuits give rise to behavior.
McGovern Institute neuroscientists use children’s interests to probe language in the brain.
Philosopher Sam Berstler diagnoses the corrosive effects of not acknowledging troubling truths.
Researchers at MIT, NYU, and UCLA develop an approach to help evaluate whether large language models like GPT-4 are equitable enough to be clinically viable for mental health support.