Science

A new agentic system harnesses the power of large language models to dramatically improve how researchers find and utilize valuable datasets.

A new framework allows robots to acquire complex manipulation skills by simply observing a single human demonstration, bridging the gap between human dexterity and robotic control.

This review explores how artificial intelligence, particularly advanced machine learning techniques, is transforming digital twin technology into powerful systems for simulation, forecasting, and autonomous operation.

New research shows that interactive, storytelling robots can significantly boost student motivation and learning compared to traditional teaching methods.

This review explores the rapidly evolving landscape of AI agents, systems capable of perceiving, reasoning, and acting autonomously in complex environments.

A new approach to artificial intelligence emphasizes transparent, shared understanding between humans and robots to enable more reliable collaboration.

A new review argues that while machine learning offers powerful tools for scientific discovery, its true potential lies in synergy with established physical principles, not as a replacement for them.

New research reveals that language models often fail to reveal the contextual factors that shape their answers, raising concerns about the reliability of current AI explanation methods.

This review explores how open radio access networks (O-RAN) can unlock the potential of drone-based services in increasingly complex urban environments.

New research demonstrates that improving how AI perceives images is critical to unlocking more complex reasoning abilities.