Jonathan Nolan Quotes

Artificial intelligence is always 20 years away.

Artificial intelligence... I've been following that since I was in high school.

The tools and technologies we've developed are really the first few drops of water in the vast ocean of what AI can do.

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

Today, there are industries employing hundreds of thousands of engineers creating artificial intelligence.

Artifical Intellegence is the most important of the coming technologies. Whoever can crack that will have a company worth 10 Microsofts.

I joined Baidu in 2014 to work on AI. Since then, Baidu's AI group has grown to roughly 1,300 people, which includes the 300-person Baidu Research. Our AI software is used every day by hundreds of millions of people.

I'd rather see artificial intelligence than no intelligence.

It's going to be interesting to see how society deals with artificial intelligence, but it will definitely be cool.

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.

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

When you apply computer science and machine learning to areas that haven't had any innovation in 50 years, you can make rapid advances that seem really incredible.

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

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

Note that I am not proposing that AI research be ignored or less funded.

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.

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

Whatever you are studying right now, if you are not getting up to speed on deep learning, neural networks, etc., you lose. We are going through the process where software will automate software, automation will automate automation.

I just thought making machines intelligent was the coolest thing you could do. I had a summer internship in AI in high school, writing neural networks at National University of Singapore - early versions of deep learning algorithms. I thought it was amazing you could write software that would learn by itself and make predictions.

Even though chess isn't the toughest thing that computers will tackle for centuries, it stood as a handy symbol for human intelligence. No matter what human-like feat computers perform in the future, the Deep Blue match demands an indelible dot on all timelines of AI progress.

Having been trained as a computer scientist in the '90s, everybody knew that AI didn't work. People tried it. They tried neural nets, and none of it worked.

Baidu's AI is incredibly strong, and the team is stacked up and down with talent; I am confident AI at Baidu will continue to flourish. After Baidu, I am excited to continue working toward the AI transformation of our society and the use of AI to make life better for everyone.

I am telling you, the world's first trillionaires are going to come from somebody who masters A.I. and all its derivatives and applies it in ways we never thought of.

Now that neural nets work, industry and government have started calling neural nets AI. And the people in AI who spent all their life mocking neural nets and saying they'd never do anything are now happy to call them AI and try and get some of the money.

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.