Like human brain: Artificial intelligence system can tell how memorable pictures are

(MIT Computer Science and Artificial Intelligence Laboratory) 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. Pictures, they say, are good ways of capturing memories. Researchers from the Massachusetts Institute of Technology (MIT)’s Computer Science and Artificial Intelligence Laboratory, however, took this popular adage a step further by developing an artificial intelligence system which can tell just how “memorable” a photograph is. The so-called “MemNet” algorithm can supposedly perform “at near-human levels” through “deep learning” techniques, which uses systems called “neural networks” to teach computers how to sift through massive amounts of data and autonomously establish patterns out of these pieces of information. Principal research scientist Aude Oliva,…


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