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	Podcast:		UC Science Today
	Episode:		Artificial intelligence that goes beyond voice recognition programs
	Category:		Science & Medicine
	Duration:		00:01:02
	Publish Date:		2015-09-29 19:00:00
	Description:		How does designing a voice recognition program like Siri compare to creating artificially intelligent robots? Computer science professor Pieter Abbeel of the University of California, Berkeley says that although both use similar deep learning algorithms, applying them to robots is far more challenging because the task goes beyond passively recognizing the sound of a voice. "So recognizing a pattern and then making a prediction, is very different than a robot taking an action, which then in turn, results in the world changing around the robot. And then taking an action that changed the world and that, then keeps going, right? So it's very different because for a robot, every action has consequences, whereas if you do something like image recognition or sound recognition, you just kind of output your prediction and then the next request comes in, to recognize something." Abbeel’s team has developed an algorithm that enables robots to learn on their own without preprogrammed solutions like those in voice recognition programs. "And learn that all in one learning process while it’s trying things out."
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