Brain-Like Computer System Identifies, Predicts Most ‘Memorable’ Photos

MIT / CSAIL Researchers at MIT have created an artificial intelligence system that can predict how “memorable” a photo is and what parts of it will be best remembered. The “MemNet” algorithm is based on “deep-learning” techniques, a new style of AI that uses pattern recognition and processing inspired by the brain’s own networks. Related: Tech Leaders Pledge $1 Billion to Artificial Intelligence Research Nonprofit The MemNet system, developed by the school’s Computer Science and Artificial Intelligence Lab, was exposed to thousands of photos, each with a score based on how well humans had proved able to remember them. By closely analyzing the visual features of all these, MemNet determined a pattern of what photos were memorable and what objects within them contributed most to that. When presented with new…


Link to Full Article: Brain-Like Computer System Identifies, Predicts Most ‘Memorable’ Photos

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