Science

A new multi-agent system is streamlining the early stages of drug development with promising results.

A new benchmark assesses how well AI can synthesize information from multiple sources and perform deep research tasks.

Generative AI tools offer exciting possibilities, but their application to qualitative methods demands critical scrutiny.

A new decentralized approach allows multiple heavy, articulated vehicles to navigate and avoid collisions without jackknifing.

Can artificial intelligence truly help scientists explore new frontiers and generate novel research directions?

CAVER autonomously builds an understanding of the physical world through audiovisual exploration, opening doors for more adaptable and intelligent robotic systems.

A new multi-agent system tackles complex scientific problems by coordinating specialized AI to achieve human-level reasoning across diverse domains.

A hierarchical vision-language model empowers robots to intelligently select and execute complex assembly tasks from natural language commands.

As artificial intelligence rapidly advances, national defense strategies must adapt to a landscape of unprecedented technological disruption.

A new framework combines vision and tactile sensing to enable robots to reliably track and manipulate complex, moving objects.