AI Takes the Lead in Materials Discovery

A new agentic system powered by vision and language models is automating complex tasks at synchrotron beamlines, accelerating materials characterization.

A new agentic system powered by vision and language models is automating complex tasks at synchrotron beamlines, accelerating materials characterization.

A new agentic AI framework, GRACE, is automating the complex process of designing and simulating physics experiments, promising to accelerate scientific discovery.
A new multi-agent system leverages the power of large language models to tackle complex robotic arm challenges with unprecedented accuracy.

A new dataset offers researchers a unique window into how artificial intelligence agents are impacting the world of software development.

Researchers explore a new system using artificial intelligence to analyze user artwork and guide meaningful conversations, offering a novel approach to therapeutic art activities.

A new study investigates how providing reviewers with AI-generated suggestions affects their evaluation process and perceptions of intellectual contribution.

A new study explores the surprisingly complex social dynamics emerging from interactions between artificial intelligence agents within the MoltBook environment.
This review explores the growing synergy between artificial intelligence and the development of polymer brushes, paving the way for accelerated materials discovery and self-directed experimentation.

Researchers have developed a new method to bridge the gap between human dexterity and robotic manipulation by effectively translating tactile information across different sensor types.

A new paradigm is emerging where autonomous AI agents can function as independent economic actors, unlocking their potential beyond current limitations.