Designing Materials with AI Brainstorms
A new framework uses the power of language models and knowledge graphs to intelligently explore chemical possibilities, accelerating the search for sustainable materials.
Science
Robots That Talk: Scaling Collaborative Intelligence with AI
Researchers are developing new methods for robots to negotiate and coordinate complex tasks, enabling more effective teamwork in challenging environments.
Uncovering Hidden Causes: An AI Framework for Causal Inference
Researchers have developed a new artificial intelligence system that helps identify the underlying factors driving complex phenomena, moving beyond simple correlations.
Teaching Robots New Tricks: A Smarter Approach to Dexterous Manipulation
Researchers are leveraging augmented reality and advanced learning techniques to dramatically improve how robots learn complex manipulation skills.
From Data to Discovery: AI Agents Speed Up Social Science
![Iterative refinement of hypotheses-as demonstrated by exploration of the Congress dataset-not only identifies and rejects spurious correlations, such as the initially accepted but ultimately dataset-skewed phrase “I ask unanimous consent,” but also uncovers conditional sub-hypotheses-like the strengthened link between “Govt. accountability” and opposition party control-that significantly enhance predictive power, achieving a β of 0.48 and a p-value less than [latex]10^{-5}[/latex] for accepted hypotheses like those relating to “Civil rights mentions.”](https://arxiv.org/html/2602.07983v1/x6.png)
A new framework uses artificial intelligence to automate the process of forming and testing theories, promising faster and more reliable insights in the social sciences.
Building Virtual Homes: Scaling Realistic Data for Robotics
Researchers are tackling the data scarcity problem in home robotics with a new framework for generating comprehensive, behavior-driven synthetic household environments.
Safeguarding Our Planet with AI: Data Privacy and Fairness in Environmental Regulation
This review examines how artificial intelligence, combined with cutting-edge encryption methods, can bolster data security and promote equitable algorithmic decision-making within the growing field of environmental oversight.
Who’s Driving? How Separate Robot ‘Personas’ Affect Trust and Blame
New research explores how assigning distinct identities to different components of a single robot influences human perceptions of responsibility when things go wrong.
Can AI Fix Broken Research?
New research explores how artificial intelligence can automatically recreate and repair computational analyses in the social sciences, addressing a critical challenge to scientific validity.
Robot Rally: Teaching Humanoid Robots to Play Badminton
Researchers have developed a reinforcement learning system that allows a humanoid robot to master the complex motor skills required for playing badminton, bridging the gap between simulation and real-world performance.