Dec 29, 2016

Apple’s first AI paper focuses on creating ‘superrealistic’ image recognition

Posted by in categories: mobile phones, robotics/AI, wearables

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.

Example images from dataset of 40,000 egocentric images with their respective labels (credit: Daniel Castro et al./Georgia Institute of Technology)

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