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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 […] |
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Beyond their use in traditional data analytics problems, AI and Machine Learning techniques are changing the way real-world complex systems (like vehicles, airplanes, and even industrial production lines) are designed, tested and fabricated. When building these systems, engineers rely heavily on modeling and computer-assisted simulations. This seminar showcases how MATLAB and Simulink can help integrate […] |
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1 event,Talk Information: When Monday Oct 21st 1:00pm Where: HDSI MPR 123 Zoom Info: http://bit.ly/HDSI-Seminars Title: Generative Social Choice Abstract: "The mathematical study of voting, social choice theory, has traditionally only been applicable to choices among a few predetermined alternatives, but not to open-ended decisions such as collectively selecting a textual statement. This limitation is addressed by generative social choice, a design methodology […] |
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ABSTRACT The advent of deep learning has completely revolutionized how we perceive data to obtain superhuman performance across all fields of modern science. However, despite the remarkable empirical successes of deep learners, the theoretical guarantees for their statistical accuracy remain rather pessimistic. In particular, the data distributions on which deep learners are generally applied, such […] |
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Talk Information: When Wednesday Oct 30th 1:00pm Where: HDSI MPR 123 Zoom Info: http://bit.ly/HDSI-Seminars Title: Modeling and Inference of Complementarity Mechanisms in Networks. Abstract: "In many networks, including networks of protein-protein interactions, interdisciplinary collaboration networks, and semantic networks, connections are established between nodes with complementary rather than similar properties. What is complementarity? The Oxford Dictionary asserts that […] |
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