Science

New research reveals that simply increasing the number of AI agents doesn’t guarantee improved performance, and highlights the crucial role of task design and coordination.

New research demonstrates how robots can leverage audio cues to better understand and predict the physical world, leading to more robust manipulation skills.

Researchers are exploring the use of artificial intelligence itself to reliably assess the quality of content created by other AI systems.

New research outlines practical guidelines for building collaborative systems that amplify human capabilities and foster effective teamwork with AI.

A new framework, AgentCrypt, tackles the critical challenge of protecting sensitive data as AI agents increasingly communicate and collaborate.

A new model, SMART+, offers a comprehensive, structured approach to managing the risks and ensuring the responsible deployment of artificial intelligence systems.

Researchers are exploring how large language models can unlock more intuitive and flexible control of unmanned aerial vehicles, moving beyond traditional remote operation.

New research demonstrates a significant leap in robotic control, enabling robots to perform complex tasks by reasoning about human intentions.

The pursuit of artificial intelligence must move beyond simply scaling up single-agent models to address the complexities of coordinated, adaptive behavior in multi-agent environments.

New research explores how humans perceive and react to uncertainty when physically working alongside robots, revealing predictable patterns in decision-making.