An algorithm can tell if your face is forgettable

Some faces are more memorable than others. The brain processes visual cues to decide if a face or an image will stay lodged in the memory bank. What if a network could be trained to imitate that response? You could potentially alter the visuals for a greater impact. A team of researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) has built MemNet, a deep learning based algorithm that predicts the “memorability” of your photographs almost as well as the human brain. The key to hacking the brain is knowing what makes it tick. “People tend to remember and forget the same set of images on average,” Aditya Khosla, team lead on MemNet and researcher at MIT’s CSAIL told Engadget. “Even though we all have different backgrounds and experiences,…


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