Science

A new AI agent streamlines the process of discovering and optimizing materials that accelerate chemical reactions, promising a faster path to sustainable and efficient chemistry.

A new study explores how users are forging emotional connections and immersive narratives with character-based AI, revealing both the appeal and the potential risks of these digital interactions.

A new platform leverages digital twins and a novel metric to measure the multifaceted influence of researchers and their work in an increasingly interconnected digital landscape.

A new framework combines the power of language models with robust robot control to enable more natural and reliable interaction for complex, multi-step tasks.

As AI models become more powerful, their environmental impact-particularly from energy-intensive data centers-is demanding urgent attention from policymakers and researchers.

Researchers are leveraging deep learning to understand and replicate the subtle nuances of human gaze behavior in social interactions, paving the way for more natural and engaging robots.

A new approach combines distributed learning with autonomous agents to build resilient and efficient wireless systems.

New research investigates how to build AI systems that seamlessly blend human insight with automated design, fostering more fluid and effective co-creation.

A new interface streamlines access to research papers, enabling AI agents to efficiently explore and understand complex scientific literature.

New research demonstrates that effective human-robot collaboration isn’t about blind faith, but about calibrating trust to a robot’s actual capabilities.