Planning with Logic: The Rise of Reasoning Agents in Urban AI
Moving beyond prediction, a new approach to city planning leverages AI agents that can justify their decisions and collaborate effectively.
Science
The Collaborative Future: Teaching Robots Through Mutual Understanding
A new framework enables robots and humans to learn from each other, building a shared understanding for more effective teamwork.
Smarter Science: Automating the Search for Better Experiments
A new framework leverages community knowledge to help researchers quickly identify the most relevant datasets and baseline models for their work.
Infinite Data for Robotic Hands
New simulation techniques are enabling robots to learn complex manipulation skills without needing endless real-world training.
Beyond Pairwise Relationships: Discovering Complex Causality
A new framework models higher-order interactions to reveal causal structures hidden from traditional methods.
Learning from Humans, for Robots
A new approach bridges the gap between human demonstrations and robotic control, even when humans and robots have different capabilities.
Brain-Inspired Networks Spot Anomalies with Greater Accuracy
New research explores how mimicking brain cell activity can improve the performance of anomaly detection systems.