Science

A new design leveraging spiral-shaped metamaterials allows for precise, tendon-driven control of both back-and-forth and one-way movements in soft robots.

Machine learning models are excelling at materials discovery, but a new analysis reveals they may be learning the wrong lessons from the data.

This review examines how computer vision techniques are being used in tactical AI art, and whether these works effectively address the broader societal implications of increasingly pervasive surveillance technologies.

As generative AI reshapes creative landscapes, a critical look reveals how embedded ideologies and ethical concerns are shaping-and being shaped by-the art it produces.

A new wave of artificial intelligence isn’t just automating tasks-it’s subtly redefining our understanding of art, creativity, and what it means to be human.

New research explores how robots can leverage data collected from different ‘bodies’ to accelerate learning and improve performance in complex tasks.

The evolving landscape of industrial robotics demands increasingly sophisticated safety protocols, and a critical revision of ISO 10218 is set to reshape the field.

A new report dives deep into the capabilities and limitations of today’s most advanced AI agent systems, revealing crucial insights into their development and deployment.

A new deep reinforcement learning framework uses advanced graph networks to intelligently control traffic signals, prioritizing pedestrian and public transit needs.

A new neural network architecture, TopoFlow, is improving high-resolution air pollution prediction by directly modeling the influence of topography and wind patterns.