Science

A new approach harnesses the power of foundation models to discover database optimization strategies previously unseen by human experts.

Researchers have developed a new framework and dataset to improve how robots interpret ambiguous commands during assistive tasks, paving the way for more natural and effective human-robot collaboration.

Researchers have built a more biologically accurate eight-legged robot to investigate how spiders dynamically adjust their posture to improve web-based vibration detection.

As emotional connections blossom between humans and artificial intelligence, a new landscape of privacy concerns, boundaries, and expectations is emerging.

Researchers have developed a novel AI model inspired by the navigation strategies of insects, achieving robust point-goal navigation with minimal pre-training.

Researchers have developed a new AI agent capable of sophisticated geospatial reasoning by integrating established geographic science principles with cutting-edge artificial intelligence.

New research explores how integrating principles of Pavlovian and instrumental learning can accelerate the development of more adaptable and efficient autonomous agents.

A new system automatically synthesizes theories from vast amounts of scientific literature, revealing patterns and predictions beyond traditional knowledge.

A new approach combines the power of large language models with rapid, context-aware analysis to better detect and mitigate toxic behavior in live video chats.

New research reveals the challenges continuous attractor networks face in learning meaningful transitions, and how geometric constraints can limit their ability to represent complex environments.