Learning Power System Dynamics with Neural Operators

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

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.

A new study examines the practical impact of AI coding agents on improving software quality and maintainability.

Researchers are using generative AI to build more robust and adaptable robots by creating diverse and challenging simulation environments.

Human evaluation of scientific ideas isn’t fixed in time, creating challenges for AI systems designed to optimize them.

A new framework helps robots better understand and react to forces during complex manipulation, even with limited or noisy sensor data.
A new framework integrates the strengths of both machine learning and statistical modeling to deliver more accurate and interpretable data analysis.

Researchers demonstrate a system allowing a wheelchair to autonomously track a human leader using sensor fusion and learning.