Science

New research reveals that student acceptance of AI-powered learning assistants isn’t just about technical accuracy, but deeply rooted in psychological factors.

New research details a simulation framework for optimizing the movements and task order of mobile robots working alongside humans, boosting efficiency and safety.

A new framework proposes that artificial intelligence can be advanced by framing concept formation as a search for stable, communicable representations achieved through competitive optimization of information structures.

New research reveals how people and language models co-create, demonstrating that human creativity remains central even as AI adapts to our emotional cues.

New research explores how service robots can effectively communicate with customers who are already occupied, improving both order accuracy and the overall user experience.

As artificial intelligence becomes increasingly interwoven into critical infrastructure, understanding the potential for systemic failures arising from interactions between multiple AI agents is paramount.

Researchers are developing intuitive gesture control and expressive behaviors for quadruped robots to provide companionship and assistance to older adults.

New research shows that artificial intelligence can adapt to the unpredictable timing of real-world systems by learning to anticipate and synchronize with external delays.

A new framework empowers robots to anticipate object motion and plan more accurate, long-horizon actions in complex 3D environments.

A new approach analyzes network service access to create robust device fingerprints, offering a more understandable alternative to deep packet inspection.