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Singapore excels at using deep technology and artificial intelligence for cleaner and greener environments and the prospects look promising for the deployment of AI in the quest for cleaner smart cities. The computation of real-time IoT sensor data, along with machine learning algorithms for predictive modelling, can help create user-friendly air quality heat-maps and executive dashboards determining the most severe pollution hotspots.

To stay ahead in the smart city race in an era of AI-enabled smart (urban) solutions, civil engineers, planners, regulators and green startups keen to fight against air pollution should possess basic AI know-how and know-why, over and above their expertise and experience in developing land use plans, revitalising urban precincts, making infrastructure services more accessible to disadvantaged segments of the population or creating a scalable business model. […]

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