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 fool machine learning


Captcha Goes Real Time to Fool Machine Learning

#artificialintelligence

The next thing in biometric authentication could be a new version of something already familiar to web users -- Captcha, the tried, true and too often maddening method of convincing a site you're not a bot by typing in distorted letters and numbers on the screen. Researchers at the Georgia Institute of Technology, working with funding from the U.S. military, have developed what they call Real-Time Captcha, a technique that combines authentication techniques into one interaction, requiring the user to look into a smartphone's camera and spot and answer a random question, while the program matches the user's face and voice to pre-recorded settings. In essence, the program asks a question and then watches and listens as the user answers it. The big advantage to the system, researchers say, is speed. Human users can get through the process faster than an artificial intelligence or machine reading program can answer the question, while finding and/or manipulating an image or voice recording.