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A team from Columbia University has developed an algorithm to give machines a more intuitive sense of what may happen next after an action. The computer vision algorithm is designed to predict human interactions and body language in video. The researchers said this capability could have applications for assistive technology, autonomous vehicles, and collaborative robots, and that it is the most accurate method to date for predicting video action events up to several minutes in the future.
“Our algorithm is a step toward machines being able to make better predictions about human behavior and thus better coordinate their actions with ours,” said Carl Vondrick, assistant professor of computer science at Columbia, who directed…READ MORE