Andrew Ng Quotes

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

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

I'm fascinated by artificial intelligence.

There is huge demand for artificial intelligence technologies.

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

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.

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.

As the founding lead of the Google Brain team, former director of the Stanford Artificial Intelligence Laboratory, and now overall lead of Baidu's AI team of some 1,200 people, I've been privileged to nurture many of the world's leading AI groups and have built many AI products that are used by hundreds of millions of people.

Google Brain, which I led, was arguably the single biggest force for turning Google into a great A.I. company. I'm pretty sure I led the team that transformed Baidu as well. So one thing that really excites me is the potential for other companies to become great A.I. companies.

I thought the best place to advance the AI mission is at Baidu.

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.

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

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.

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

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

There's a very long tail of all sorts of creative products - beyond our core web search, image search and advertising businesses - that are powered by deep learning.

One of the things Baidu did well early on was to create an internal platform that made it possible for any engineer to apply deep learning to whatever application they wanted to, including applications that AI researchers like me would never have thought of.

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.

I came in as an engineer and worked on artificial intelligence at Google. I worked on related sites and matching advertising to queries with some of our earliest ads.

I'd like to make a fundamental impact on one of the most exciting, intelligent questions of all time. Can we use software and hardware to build intelligence into a machine? Can that machine help us solve cancer? Can that machine help us solve climate change?

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

You may not realize it, but artificial intelligence is all around us.

The world got enamored with smartphones and tablets, but what's interesting is those devices don't do everything that needs to be done. Three-D printing, virtual-reality computing, robotics are all controlled by PCs.

I want to build the next CNN with 'VICE' - it's within my grasp.