Everyday sights and sounds quietly shape the choices people make, often without them realizing it. New research suggests that ...

Something about a warm, flickering campfire draws in modern humans. Where did that uniquely human impulse come from? How did our ancestors learn to make fire? How long have they been making it?

Humans are far more monogamous than our primate cousins, but less so than beavers, a new study suggests. Researchers from the University of Cambridge in England analyzed the proportion of full ...

Past psychology and behavioral science studies have identified various ways in which people's acquisition of new knowledge can be disrupted. One of these, known as interference, occurs when humans are ...

From interactive diagrams to A.I. assistants, virtual tools are beginning to supplant physical dissections in some classrooms Students learn anatomy from an Asclepius AI Table, which merges ...

A new paper by evolutionary anthropologists Colin Shaw (University of Zurich) and Daniel Longman (Loughborough University) argues that modern life has outpaced human evolution. The study suggests that ...

While much of the world is wringing its hands over how AI might replace people, one startup wants to prove that the real opportunity lies in bringing the two together. Launched earlier this year, ...

The new reinforcement learning system lets large language models challenge and improve themselves using real-world data instead of curated training sets. Meta researchers have unveiled a new ...

This research article presents an intelligent digital human-based teaching system designed to address limitations of traditional pre-recorded courses—such as lack of real-time interaction, ...

When OpenAI’s GPT-4 and other large language models (LLMs) first awed the public with fluent text generation, skeptics were quick to point out that producing convincing sentences isn’t the same as ...

Google’s recent whitepaper, “Welcome to the Era of Experience,” signals a shift in the way AI agents are trained. Google’s paper hypothesizes that allowing AI agents to learn from the experience of ...