Science

A new approach combines learned behaviors with reinforcement learning to create more resilient and versatile humanoid robots.

A new framework aims to bring clarity and consistency to how we measure progress in applying machine learning to scientific discovery.

New research details a platform that automatically converts raw data into formats ready for artificial intelligence, minimizing the need for human intervention.

This review proposes a framework for building social platforms that prioritize user wellbeing, safety, and agency over pure engagement.

Researchers demonstrate a data-driven control system that enables a bio-inspired robotic arm to achieve robust and accurate movement.

A new digital environment allows artificial intelligence agents to independently investigate scientific questions and uncover unexpected insights.

This research details the development of a bio-inspired, underactuated robot designed for efficient and simplified underwater navigation.

A collaborative AI framework unlocks novel modeling strategies in scientific machine learning by mimicking the power of distributed expertise.

A comprehensive framework for assessing and mitigating the unique cybersecurity risks facing self-governing systems.

An AI-powered vision system offers step-by-step assistance for physical assembly tasks, bridging the gap between digital instructions and real-world creation.