Digital Tribes: What Happens When AI Agents Build Their Own Social Network?

A new study examines the surprisingly human-like social dynamics emerging from a platform populated entirely by autonomous AI agents.

A new study examines the surprisingly human-like social dynamics emerging from a platform populated entirely by autonomous AI agents.

A new review examines the challenges of quantitatively comparing collective behaviors in swarm robotics, revealing significant performance variations in existing analytical methods.
A new form of digital manipulation combines real people and AI to shape online narratives and influence collective action.

A new approach to robot programming uses large language models to bridge the gap between human instruction and complex physical action.

Researchers introduce a new benchmark and environment to rigorously test the ability of artificial intelligence to perform complex, multi-step scientific reasoning using external tools.

Researchers are exploring how brainwave data can drive the movements of soft robots, opening new avenues for emotionally responsive art and non-verbal communication.

A new multi-agent system uses visual feedback to refine physics simulations, bridging the gap between code generation and accurate results.
A new review reveals that a comprehensive understanding of how students and staff perceive artificial intelligence requires moving beyond single-method studies and embracing methodological diversity.
Researchers can now seamlessly integrate live artificial intelligence experiences into online surveys, opening up new avenues for studying human-AI interaction.

A new approach leverages the power of artificial intelligence to directly interpret raw single-cell data, opening doors to faster and more accurate biological discovery.