Can AI Explore Science Without Being Told What to Find?

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

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.

New research highlights the need for practical evaluations to determine true AI literacy in the modern workforce.
Researchers explore how artificial intelligence can help us envision—and prepare for—the next generation of software development.