Science

A new approach allows robots to learn complex tasks by understanding and anticipating the movements humans make during demonstrations.

A new framework is emerging to enable AI agents to collaboratively tackle complex tasks with verifiable trust and adaptive coordination.

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.