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#urban-computing News & Analysis

2 articles tagged with #urban-computing. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AIBullisharXiv – CS AI · Mar 37/104
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UrbanFM: Scaling Urban Spatio-Temporal Foundation Models

Researchers developed UrbanFM, a foundation model for urban spatio-temporal data that can analyze traffic patterns and city dynamics across over 100 global cities. The model demonstrates zero-shot generalization capabilities, meaning it can make predictions for unseen cities without additional training, potentially revolutionizing urban planning and smart city applications.

AINeutralarXiv – CS AI · 10h ago5/10
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Efficient Prompt Learning for Traffic Forecasting

Researchers propose SimpleST, a lightweight prompt tuning framework that enhances spatio-temporal graph neural networks' ability to generalize across different traffic prediction scenarios. By keeping pre-trained model parameters fixed while adapting through efficient prompting, the approach reduces computational overhead while improving accuracy on real-world urban datasets.