Andrew Ng has led teams at Google and Baidu that have gone on to create self-learning computer programs used by hundreds of millions of people, including email spam filters and touch-screen keyboards that make typing easier by predicting what you might want to say next. As a way to get machines to learn without supervision, he has trained them to recognize cats in YouTube videos without being told what cats were. And he revolutionized this field, known as artificial intelligence, by adopting graphics chips meant for video games. To push the boundaries of artificial intelligence further, one of the world's most renowned researchers in the field says many more humans need to get involved. So his focus now is on teaching the next generation of AI specialists to teach the machines.

In this Friday, July 14, 2017, photo, computer scientist Andrew Ng, right, works with others at his office in Palo Alto, Calif. Ng, one of the world's most renowned researchers in machine learning and artificial intelligence, is facing a dilemma: there aren't enough experts trained to train the machines. So when he isn't pushing into the frontier of AI himself, Ng is building new ways to help educate the next generation of AI specialists.

Andrew Ng has led teams that have gone on to create self-learning computer programs used by hundreds of millions of people, including email spam filters and touch-screen keyboards that make typing easier by predicting what you might want to say next. As a way to get machines to learn without supervision, he has trained them to recognize cats in YouTube videos without being told what cats were. And he revolutionized this field, known as artificial intelligence, by adopting graphics chips meant for video games. To push the boundaries of artificial intelligence further, one of the world's most renowned researchers in the field says many more humans need to get involved. So his focus now is on teaching the next generation of AI specialists to teach the machines.