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simulation

Beyond self-driving simulations: teaching machines to learn

1 min read · Wed, Feb 13 2019

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algorithm simulation UAV

Teaching has the power to test the limits of one's knowledge. Teaching algorithms to learn using machine learning is making it possible for cars to do away with human drivers in the near future, but this has also opened up new questions about the limits of our knowledge of the brain and learning. Bernard Ghanem, KAUST associate professor of electrical engineering from the University's Visual Computing Center and principal investigator of the Image and Video Understanding Lab, applies machine learning techniques to computer vision for automated navigation (for example, self-driving cars and

Image and Video Understanding Lab (IVUL)

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