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Talk Abstract
Cities, humanity’s greatest inventions, offer vast opportunities for innovation in science and technology. The increasing availability of big data paints a promising future for our cities. Over the past decade, my work has focused on applying AI to address real-world city challenges. Recent collaborations with city practitioners have deepened my understanding of these complexities and refined my vision for achieving city intelligence.
In this talk, I will present my work on advanced AI techniques for city transportation problems, e.g., reinforcement learning for traffic signal control. I will then expand on this to discuss the resource-centric concept of city intelligence, using real-world practices to showcase its practical applications. Finally, I will emphasize the urgent need for new cyber infrastructure, vital not only for city innovations but for all scientific disciplines driven by big data and intensive computing.