Bill Maris Quotes

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

I'm fascinated by artificial intelligence.

There is huge demand for artificial intelligence technologies.

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.

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

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

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.

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.

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.

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.

By developing deep learning solutions that are faster, easier, and less expensive to use, Nervana is democratizing deep learning and fueling advances in medical diagnostics, image and speech recognition, genomics, agriculture, finance, and eventually across all industries.

A lot was happening in A.I. But I also realized it wasn't clear what Salesforce's role in A.I. was. That's when we started acquiring quite a few artificial intelligence companies, maybe a dozen.

I think a lot of people don't understand how deep AI already is in so many things.

It is difficult to think of a major industry that AI will not transform. This includes healthcare, education, transportation, retail, communications, and agriculture. There are surprisingly clear paths for AI to make a big difference in all of these industries.

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.

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

A lot of what people are calling 'artificial intelligence' is really data analytics - in other words, business as usual. If the hype leaves you asking 'What is A.I., really?,' don't worry, you're not alone.

And nowadays, the idea of AI is not really science fiction anymore - it's just science fact.

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

I don't think love for technology itself breeds change.

We wanted to solve robot problems and needed some vision, action, reasoning, planning, and so forth. We even used some structural learning, such as was being explored by Patrick Winston.