An MIT algorithm predicts human interaction by watching TV series


Researchers in MIT’s Computer Science and Artificial Intelligence Laboratory had created an algorithm that analyzes video, then uses what it learns to predict how humans will behave.

The machine was fed six-hundred hours of clips from shows like The Office and Big Bang Theory and learned to identify high-fives, handshakes, hugs, and kisses. When tests were run, the algorithm correctly predicted future interactions 43% of the time.


read more: Wired
tags: machine-learning mit tv ai