Centaur, an AI model trained on 10 million decisions, learns to simulate human thinking, even in unfamiliar situations.

To better understand human cognition, scientists trained a large language model on 10 million psychology experiment questions ...

New research reveals that human memory may prioritize people and places over context, offering insight into how our brains achieve flexible, enduring recall.

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

University of Washington researchers developed the game AI Puzzlers to show kids an area where AI systems still typically and ...

The researchers who developed the system, called Centaur, fine-tuned a large language model (LLM) using a massive set of data ...

In the lab, researchers test this by giving animals randomly paired images, one pair at a time, and rewarding them with food for picking the correct one. For example, animals lear ...

As new technologies are employed to improve cyber-security, designers often make claims that their interfaces improve usability, improve situation awareness, reduce cognitive load, or improve team ...

However, critics warn that the convenience of AI comes with hidden costs to human cognition. The ubiquity of AI-powered ... picking up a musical instrument or tackling challenging puzzles, we can keep ...

The goal of the paper is to find means for the unification of human-machine duality in collective behavior of people and machines, by conciliating approaches that proceed in opposite directions. The ...