AI can help solve some of the most difficult social and environmental challenges in areas like healthcare, disaster prediction, environmental conservation, agriculture, or cultural preservation.

Reinforcement learning is the idea of being able to assign credit or blame to all the actions you took along the way while you were getting that reward signal.

Health care has a lot of interesting machine-learning problems - outpatient outcomes, or when you have x-ray images and you want to predict things.

I think that is one of the main goals of pushing forward in machine learning: having computers provide the wisdom that a human companion would be able to provide in offering advice, looking up more information when necessary and those kinds of things.

Health care has a lot of interesting machine-learning problems - outpatient outcomes, or when you have x-ray images and you want to predict things.

Computers can see, and understand what people say via speech recognition.

Computers don't usually have a sense of if you have a picture of something what is in that image. And if we can do a good job of understanding what is in an image, that can bring along a lot of new things you can do in applications.

Traditionally computers have not been that good at interacting with people in ways that people feel natural interacting with.