Science

New research demonstrates how coordinating movement with radio signal strength allows teams of robots to map complex environments more efficiently.

As generative AI reshapes creative landscapes, a fundamental challenge arises: how do we define and protect ownership in a world of algorithmically-derived art?

A new framework enables robots to acquire complex manipulation skills simply by observing human videos, offering a low-cost path to advanced automation.

A new critical assessment reveals how incorporating quantum-chemical bonding descriptors significantly improves machine learning predictions of key materials properties.

Researchers have developed a new framework that empowers agents to ‘imagine’ potential scenarios, dramatically improving their ability to understand complex human-object interactions.

A new study examines how tarot practitioners are integrating artificial intelligence into their readings, transforming the practice of divination and the search for personal meaning.

A new framework, ReTracing, explores how generative AI systems encode and perpetuate biases through the choreography of human, robotic, and virtual interactions.

Researchers can now leverage a new multi-agent system that uses natural language to simplify and accelerate the complex process of causal inference.

This review explores how the next generation of wireless technology will unlock a new era of capabilities for robotics, enabling safer, more intelligent, and collaborative machines.

A new benchmark assesses whether large language model agents can reliably reproduce findings in the social and behavioral sciences, revealing critical hurdles beyond just code execution.