Ray Kurzweil Quotes

My mission at Google is to develop natural language understanding with a team and in collaboration with other researchers at Google.

Understanding of natural language is what sometimes is called 'AI complete,' meaning if you can really do that, you can probably solve artificial intelligence.

Computers will understand sarcasm before Americans do.

One of our big goals in search is to make search that really understands exactly what you want, understands everything in the world. As computer scientists, we call that artificial intelligence.

I'm fascinated by artificial intelligence.

Language is too complex for a computer to understand. It's not going to be able to make sense of what people are saying en masse. We need a new type of discipline that puts together computer scientists and social scientists, who can add context to the situation.

I am suggesting that we recognize that in network and interface research there is something as profound (and potential wild) as Artificial Intelligence.

We've seen computers play chess and beat grand masters. We've seen computers drive a car across a desert. But interestingly, playing chess is easy, but having a conversation about nothing is really difficult for a computer.

This is a magical time for computer programming. We are moving towards the artifical intelligence holy grail of programming the computer to simulate the human brain.

In order to be truly intelligent, computers must understand - that is probably the critical word.

None of us today know how to get computers to learn with the speed and flexibility of a child.

Many researchers are exploring other forms of AI, some of which have proved useful in limited contexts; there may well be a breakthrough that makes higher levels of intelligence possible, but there is still no clear path yet to this goal.

Most of the value of deep learning today is in narrow domains where you can get a lot of data. Here's one example of something it cannot do: have a meaningful conversation.

If you step back a little and say we want to do A.I., then you will realize that A.I. needs knowledge, reasoning, and explanation.

I have always been convinced that the only way to get artificial intelligence to work is to do the computation in a way similar to the human brain. That is the goal I have been pursuing. We are making progress, though we still have lots to learn about how the brain actually works.

Artificial Intelligence (AI) is the science of how to get machines to do the things they do in the movies.

I believe that at the end of the century the use of words and general educated opinion will have altered so much that one will be able to speak of machines thinking without expecting to be contradicted.

The real goal of AI is to understand and build devices that can perceive, reason, act, and learn at least as well as we can.

By 2029, computers will have emotional intelligence and be convincing as people.

When people speak of creating superhumanly intelligent beings, they are usually imagining an AI project.

By 2020, most home computers will have the computing power of a human brain. That doesn't mean that they are brains, but it means that in terms of raw processing, they can process bits as fast as a brain can. So the question is, how far behind that is the development of a machine that's as smart as we are?

The big question society will have to answer is whether it wants computers thinking like humans.

Artificial intelligence is always 20 years away.

The revolution in AI [artifical intelligence] has been profound. It surprised me, even though I was sitting right there.

The thing that's going to make artificial intelligence so powerful is its ability to learn, and the way AI learns is to look at human culture.