Science

A new framework translates natural language requirements into formal specifications, enabling rigorous verification of complex neural network behavior.

Researchers have developed a reinforcement learning system that allows robots to efficiently plan paths for manipulating deformable materials on complex surfaces.

New research suggests the Scientific Revolution wasn’t just a gradual unfolding, but a powerful combination of psychological insight and enduring institutional support.

Researchers have developed a new framework that allows robots to automatically expand their capabilities and tackle novel manipulation tasks by building and evolving a comprehensive skill repository.

A new machine learning framework accurately predicts the performance of molecules designed to improve perovskite solar cell stability, paving the way for rational material discovery.

Researchers have developed a new control system enabling legged robots to safely and compliantly interact with people during complex manipulation tasks.

A new approach leverages collaborative teams of specialized AI agents to tackle complex reasoning tasks and refine solutions through structured feedback.

Researchers have developed a modular, cable-driven soft robotic arm where material softness directly impacts its ability to both bend and carry loads.

This review examines the critical considerations for integrating artificial intelligence into K-16 STEM education to foster equitable career development and prepare students for the future of work.

A new system effectively tackles complex manipulation tasks in crowded spaces by intelligently separating the problem of obstacle removal from the act of grasping objects.