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Cornell’s Manhattan digital twin aims to map city CO2 in real time
Key Takeaways
- Cornell used Manhattan to test a digital twin for urban carbon dioxide conditions.
- The system combines large datasets, Bayesian modeling, and machine learning.
- Researchers say it could help planners identify hotspots and evaluate interventions before deployment.
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DT Editorial Team··via phys.org
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