Artificial intelligence trained to predict human interactions by binge-watching YouTube videos

MIT researchers have developed a form of artificial intelligence (AI) capable of accurately anticipating human interactions by training it to learn social cues from YouTube videos. It is hoped that the development will further progress in the field of computer vision, specifically towards creating intelligent systems capable of predicting events before they occur. Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory created a deep-learning algorithm that they trained with 600 hours of television shows downloaded from YouTube, including The Office, Desperate Housewives and The Big Bang Theory. That equates to 25 straight days of binge-watching. More tech news from IBTimes UK TV shows were selected based on their ranking on Google and “generally consisted of people performing a large variety of everyday actions” and interactions with other people. The…


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