Science

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.

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.

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 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.

A new approach to information access is emerging, shifting the focus from simply finding documents to actively solving problems with the data they contain.

Researchers are leveraging deep learning to create social robots capable of exhibiting human-like gaze behavior, improving the naturalness and effectiveness of human-robot interaction.