Deep-learning algorithm predicts how memorable photos are

Researchers at MIT have been working on a deep-learning algorithm that is able to predict the memorability of a photograph at near-human levels. The researchers are working out of the MIT Computer Science and Artificial Intelligence Laboratory and created the image with the goal of turning it into an app that tweaks photos to make them more memorable. The algorithm is dubbed MemNet. The algorithm creates a heat map that identifies which parts of the image are most memorable. The team says that understanding the memorability of an image can allow them to build systems that capture the most important information or stores the information that humans are prone to forget. One researcher describes the system as an instant focus group to tell you how likely someone is to remember…


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