Reclaiming Creativity in the Age of AI Learning
As artificial intelligence reshapes education, understanding how students maintain ownership of their creative process is more crucial than ever.
As artificial intelligence reshapes education, understanding how students maintain ownership of their creative process is more crucial than ever.
A new analysis reveals that academic journals’ attempts to manage the rise of AI-assisted writing are falling short, leaving a significant gap between actual use and transparent disclosure.

Researchers have developed a remarkably simple soft robot inspired by inchworm locomotion that navigates complex terrains using passive control and grooved surfaces.

New research reveals a dynamic model that forecasts how drivers think and react when sharing control with automated systems.

Researchers have developed a new artificial intelligence system that automates the creation of complex models of biological systems, accelerating drug discovery and personalized medicine.

A new framework uses graph neural networks to assess collaborator reliability and optimize task completion in complex, multi-agent systems.

A new analysis reveals that artificial intelligence research backed by major technology companies receives disproportionately higher citation rates, but tends to operate within echo chambers and prioritize recent publications.

Researchers are developing more realistic and scalable driving simulations by focusing on how individual agents perceive and react to their surroundings.

New research shows that grounding AI coding assistants in specific project context dramatically improves their ability to help students learn and understand code.

Researchers propose a new framework for large language models that enables continuous alignment and performance enhancement without relying on ongoing human guidance.