Science

As research increasingly relies on large, collaborative teams, traditional systems for recognizing individual contributions are facing unprecedented challenges.

New research demonstrates a framework for refining robotic manipulation skills, moving beyond simply completing tasks to achieving elegant and efficient movements.

The rise of generative AI is forcing a reckoning with copyright law and challenging established norms in academic publishing.

Researchers are pushing the boundaries of robotic agility by enabling quadrupedal robots to integrate data from multiple viewpoints to navigate complex environments.

New research reveals that human perceptions, rather than objective quality, heavily influence how we evaluate the logical arguments generated by artificial intelligence.

A new approach harnesses the collective intelligence of artificial intelligence agents to create novel protein sequences with desired characteristics.

New research demonstrates how artificial intelligence can automate complex scientific data analysis and visualization, reducing reliance on manual coding.

Researchers have developed a new framework that allows humanoid robots to be controlled through natural language, bridging the gap between human intention and robotic action.

A new analysis reveals the accelerating integration of powerful AI models into the research process, but also exposes critical gaps in tracking their impact.

A new framework leverages the power of artificial intelligence to dynamically analyze research landscapes and extract insights from full-text data.