In deep learning, the algorithms we use now are versions of the algorithms we were developing in the 1980s, the 1990s. People were very optimistic about them, but it turns out they didn't work too well.

In the brain, you have connections between the neurons called synapses, and they can change. All your knowledge is stored in those synapses. You have about 1,000-trillion synapses - 10 to the 15, it's a very big number.

You look at these past predictions like there's only a market in the world for five computers [as allegedly said by IBM founder Thomas Watson] and you realize it's not a good idea to predict too far into the future.

Backhoes can save us a lot of digging. But of course, you can misuse it.

I think people need to understand that deep learning is making a lot of things, behind-the-scenes, much better. Deep learning is already working in Google search, and in image search; it allows you to image search a term like "hug."

I refuse to say anything beyond five years because I don't think we can see much beyond five years.

In deep learning, the algorithms we use now are versions of the algorithms we were developing in the 1980s, the 1990s. People were very optimistic about them, but it turns out they didn't work too well.