Deep-learning algorithm predicts photos’ memorability at “near-human” levels

For each image, the MemNet algorithm creates a heat map identifying its most memorable and forgettable regions. The image can then be subtly tweaked to increase or decrease its memorability score. Credit: CSAIL Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have created an algorithm that can predict how memorable or forgettable an image is almost as accurately as humans—and they plan to turn it into an app that subtly tweaks photos to make them more memorable. For each photo, the “MemNet” algorithm—which you can try out online by uploading your own photos—also creates a heat map that identifies exactly which parts of the image are most memorable. “Understanding memorability can help us make systems to capture the most important information, or, conversely, to store information that humans…


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