Science

This review explores how autonomous, reasoning agents can be integrated into software engineering workflows to enhance human-AI collaboration and improve development outcomes.

Researchers have developed a novel framework allowing robots to proactively explore and achieve goals in complex environments by building and refining internal models of the world.

Researchers are leveraging the power of artificial intelligence to automatically create complex material models, bridging the gap between data-driven learning and established physics principles.

Researchers have successfully combined the mobility of a quadruped robot with the dexterity of a robotic arm, enabling autonomous navigation and object manipulation in complex environments.

A new wave of AI-powered search is changing how we find and learn information, but realizing its full potential requires a focus on deeper understanding, not just faster answers.

Researchers have developed a new framework allowing robots to learn manipulation skills by observing human actions in videos, bypassing the need for costly and time-consuming physical demonstrations.

A new benchmark reveals that despite advances in generating realistic videos, current AI systems still struggle with basic physical reasoning and maintaining consistency in dynamic scenes.

Researchers partnered with college students to develop a socially assistive robot focused on boosting productivity and well-being through personalized support.

A new framework explores the possibility of machine consciousness arising from complex self-organization and predictive processing within computational systems.

Researchers have developed a new soft robotic gripper with integrated magnetic tactile sensing capable of both adaptive grasping and assessing the firmness of delicate objects.