With the advent of photography, a tiny fraction of 19th-century scientists believed they could develop methods of accurately identifying criminals by their facial features. While their hypotheses were eventually discredited, new artificial intelligence technology suggests their claims might’ve been valid after all.

Xiaolin Wu and Xi Zhang from Shanghai Jiao Tong University in China have resurrected this facial recognition tradition and built a neural network that can supposedly pick out criminals by simply looking at their faces.

To accomplish this, the researchers used an array of machine-vision algorithms to examine a series of facial juxtapositions between photos of criminals and non-criminals with the goal of finding out whether a neural network can reliably tell them apart.

In the process, the scientists fed the neural network a total of 1856 ID photos of men with no facial hair between the ages of 18 and 56, only half of whom had a criminal past. The researchers only used 90 percent of the photos to train the AI to recognize the differences between the two groups, and used the remaining 10 percent for testing purposes.

Read the Full Article: Source – The Next Web
Time For Truth: (The Next Web) – This scary artificial intelligence has learned how to pick out criminals by their faces

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