Decoding Humanity: How AI is Becoming a Mirror to Ourselves
A new wave of research proposes leveraging the power of artificial intelligence not just to do things, but to understand the underlying patterns of human thought, culture, and morality.
Science
Robots That See and Understand: The Future of Collaborative Chemistry
New research demonstrates how AI-powered robots can safely and effectively work alongside human chemists in shared laboratory spaces, paving the way for truly autonomous research.
AI and the Future of Science Education
Generative artificial intelligence offers powerful new tools for teaching and learning science, but realizing its potential requires a thoughtful, coherent approach.
Decoding Robot Influence: What Moves Us to Interact?
New research reveals how specific robot actions demonstrably shape human behavior during social interactions.
AI Finds New Limit in Centuries-Old Puzzle
A novel artificial intelligence system combining neural networks and symbolic reasoning has achieved a significant advance in the field of combinatorial design.
The Robot’s Wardrobe: Designing for Intuitive Interaction
New research explores how a robot’s physical materials and aesthetic design can proactively communicate its intentions and context to users, fostering more natural and effective collaboration.
The Rise of the AI Scientist: Automating Discovery Through Evolution
![EvoScientist establishes a self-evolving system comprising researcher and engineer agents, guided by an evolution manager that distills their interactions into ideation and experimentation memories-[latex]M_{IM}[/latex] and [latex]M_{EM}[/latex]-to persistently refine both the quality of generated ideas and the success rate of their execution across diverse tasks.](https://arxiv.org/html/2603.08127v1/x1.png)
A new multi-agent system, EvoScientist, is pushing the boundaries of automated research by evolving AI agents to independently design, execute, and report scientific experiments.
The Human Directs: Reimagining Robots as Creative Partners
A new framework proposes shifting the focus of human-robot interaction from autonomous action to human-led collaboration, unlocking creative potential and responsible control.
The Cognitive Scientist’s New Ally: AI Agents and the Future of Discovery
A new wave of intelligent agents, powered by large language models, is poised to dramatically accelerate scientific workflows and reshape how we analyze complex data.
Robots Learn to Adapt: The Power of Shared Movement Data
New research shows that carefully structuring robot learning datasets with analogous movement patterns dramatically improves a robot’s ability to transfer skills between different bodies.