Science

A new perspective argues that understanding life requires focusing on how biological systems respond to change, not just what they are at equilibrium.

A new method dramatically reduces the computational cost of adapting powerful vision transformer models to new tasks without sacrificing performance.

A new framework harnesses the power of large language models and advanced mathematical tools to tackle the complex problem of identifying causal relationships, even when hidden variables are involved.

Researchers have developed a novel framework that bridges the gap between visual understanding, language, and robotic action, allowing robots to perform complex tasks with greater precision.

Researchers have unveiled a new framework for creating versatile audio agents capable of processing speech, music, and sound effects with unprecedented flexibility.

A new method allows multi-agent systems to discover coordinated behaviors by focusing on how agents perceive each other’s movements and positions within a shared environment.

New research explores how integrating artificial intelligence into post-meeting workflows can foster deeper collaboration and improve project preparedness.

Researchers have developed a new technique that streamlines the learning process for legged robots, enabling them to master complex movements with greater efficiency and stability.

New research reveals a strong link between winning prestigious awards and increased collaborative activity among computer scientists.

New research presents a visuomotor policy that allows robots to effectively handle ambiguous states during long-horizon manipulation by intelligently recalling past information.