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Cops, Crops and Mobile Phones: Machine Learning in Africa

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Abstract: In the developing world a great deal of data is collected which is rarely fully exploited by AI researchers. I will introduce three applications of machine learning that we are working on at Makerere University: prediction and surveillance of disease outbreaks using varied sources of data, robust traffic monitoring from CCTV images and crop disease diagnosis with computer vision.

Biography: John Quinn received a BA in Computer Science from the University of Cambridge in 2000, and a PhD from the University of Edinburgh (Institute for Adaptive and Neural Computation) in 2007. He is currently a lecturer in Computer Science at Makerere University, Uganda. Homepage:

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