Science

A new study examines the growing trend of students leveraging AI tools for computational modeling assignments in physics courses.

New research introduces a rigorous framework and dataset to evaluate how closely humanoid robot motion mimics natural human movement.

The field is rapidly evolving with powerful new artificial intelligence tools, but translating research into real-world clinical impact presents significant hurdles.

Researchers have developed a human-robot interaction system that allows users to direct robots with a simple glance at an object combined with a spoken command.

A new evaluation of the Boltz-2 foundation model reveals efficient structural predictions, but highlights significant limitations in accurately forecasting protein-ligand binding affinities.

Researchers have developed an agentic system that can control a diverse range of robots using only natural language instructions, eliminating the need for platform-specific training.

A new analysis of decades-old data from the Large Electron-Positron collider demonstrates the potential of artificial intelligence to refine our understanding of fundamental particle interactions.

Researchers have developed a new method for simultaneously optimizing a soft robot’s shape, material properties, and actuation, paving the way for more adaptable and efficient designs.

Artificial intelligence and self-driving laboratories are poised to dramatically speed up the design of catalysts and chemical reactions.

Researchers have created an embodied AI system capable of partnering with artists to co-create drawings, pushing the boundaries of human-robot creative collaboration.