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Governments around the world spend a great deal of money creating and preserving beautiful places, and you might seek out such locations when desiring rest and relaxation. But what are beautiful places composed of?
Chanuki will talk to you about how she exploited recent advances in computer vision and deep learning to attempt to find answers to this question that go beyond the simple explanation ‘what is natural is beautiful’. She will also explore a new deep learning model to predict scenic locations around London.
Chanuki's research shows that beauty – once thought to be in the eye of the beholder and thus an area of investigation impenetrable by computers – can in fact be discerned by computer algorithms.
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Keynote: What can Deep Learning Reveal About Beautiful Places?
Chanuki Illushka Seresinhe is a data science researcher at the Alan Turing Institute. She also works as a senior data scientist at Channel 4. Chanuki's research entails using big online datasets and deep learning to understand how the aesthetics of the environment influences human wellbeing. Her research has been featured in the press worldwide including The Economist, Wired, The Times, BBC, Spiegel Online, The Guardian, The Telegraph and Scientific American. She received her PhD from the Data Science Lab, Warwick Business School, University of Warwick. Previously, she ran her own digital design consultancy advising clients on presenting their businesses successfully online.