Researchers showed that large language models use a small, specialized subset of parameters to perform Theory-of-Mind reasoning, despite activating their full network for every task.

Imagine you're watching a movie, in which a character puts a chocolate bar in a box, closes the box and leaves the room. Another person, also in the room, moves the bar from a box to a desk drawer.

After 150 years of mystery, neuroscience has finally cracked the code on how language works in the brain—and the answer is surprisingly elegant.

Humans have the cognitive capacity to infer and reason about the minds and thoughts of other people. Our brains are very good at it—much better than the Large Language Models or LLMs.  Although LLMs ...

New brain-imaging research shows that soccer fans experience rapid shifts in reward and self-control circuits when their team ...

Imagine you're watching a movie, in which a character puts a chocolate bar in a box, closes the box and leaves the ...

This paper introduces a novel AI-enhanced retirement planning platform that integrates behavioral economics principles with advanced machine learning techniques to optimize financial decision-making.

Charles Zhang, founder, chairman, and chief executive officer of Sohu.com, one of China’s earliest internet pioneers, says the key to survival in the era of artificial intelligence (AI) is not blind ...

Just five minutes of training significantly improved people's ability to detect AI-generated faces and synthetic facial images.

Experts warn: AI is not a neutral tool, but a socioeconomic instrument of power with profound consequences for democracy.

As AI becomes more prevalent in education, work and social life, research is increasingly focused on understanding its nuanced effects on core cognitive functions such as memory, attention and creativ ...

At a recent Columbia SPS Author Spotlight, ERM Associate Director and Lecturer Rich Lauria and Capita Solutions CEO John Burkhardt explored how managing risk starts with understanding the mind.