Science

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

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.

A new motion planning framework empowers robots to deftly handle elongated objects in complex, crowded spaces.

A new approach leverages physics-informed neural networks to model complex power system components with unprecedented speed and accuracy.

Inspired by nature, researchers have developed a soft quadrotor that can squeeze through tight spaces and withstand impacts.