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Apple's first AI paper focuses on creating 'superrealistic' image recognition

January 2, 2017 | Telepresence Options

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Story and images by Kurzweilai

Apple's first paper on artificial intelligence, published Dec. 22 on arXiv (open access), describes a method for improving the ability of a deep neural network to recognize images.

To train neural networks to recognize images, AI researchers have typically labeled (identified or described) each image in a dataset. For example, last year, Georgia Institute of Technology researchers developed a deep-learning method to recognize images taken at regular intervals on a person's wearable smartphone camera.

The idea was to demonstrate that deep-learning can "understand" human behavior and the habits of a specific person, and based on that, the AI system could offer suggestions to the user.

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