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" Just as our roads and bridges are overdue for investment, so is the infrastructure for scientific research; that is, the body of scientific thought and the tools for searching through it. "
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Roads
Thought
Body
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" Science is going to be revolutionized by AI assistants. "
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Science
" Deep learning is a subfield of machine learning, which is a vibrant research area in artificial intelligence, or AI. "
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Research
Deep
Intelligence
" Even seemingly innocuous housecleaning robots create maps of your home. That is information you want to make sure you control. "
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Control
You
Home
" Our highways and our roads are underutilized because of the allowances we have to make for human drivers. "
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Our
Drivers
Roads
" Netbot was the first comparison shopping company. We realized comparison shopping can be quite tedious if you are driving from one furniture store to another. On the Internet, you can automatically look at a bunch of different stores and see where can you get the best price on a computer or some such thing, so that was the motivation. "
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Motivation
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" I love sophisticated algorithms that help consumers in a tangible way. "
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Tangible
Way
Sophisticated
" I could do a whole talk on the question of is AI dangerous.' My response is that AI is not going to exterminate us. It's a tool that's going to empower us. "
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Dangerous
Empower
Question
" In the past, much power and responsibility over life and death was concentrated in the hands of doctors. Now, this ethical burden is increasingly shared by the builders of AI software. "
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Responsibility
Past
Life
" Machines and people are both necessary for Facebook, Twitter, Wikipedia, Google, and neither is sufficient on its own. "
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Machines
Google
Facebook
" The popular dystopian vision of AI is wrong for one simple reason: it equates intelligence with autonomy. That is, it assumes a smart computer will create its own goals and have its own will and will use its faster processing abilities and deep databases to beat humans at their own game. "
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Intelligence
Goals
Own
" When there are hiring decisions and promotion decisions to be made, people are hungry for data. "
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People
Data
Decisions
" Life is short. Don't do the same thing everyone else is doing - that's such a herd mentality. And don't do something that's two percent better than the other person. Do something that changes the world. "
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World
Short
Life
" I'm not so worried about super-intelligence and 'Terminator' scenarios. Frankly I think those are quite farfetched. "
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I Think
Quite
Think
" I became interested in AI in high school because I read 'Goedel, Escher, Bach,' a book by Douglas Hofstader. He showed how all their work in some ways fit together, and he talked about artificial intelligence. I thought 'Wow, this is what I want to be doing.' "
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Doing
Intelligence
School
" All these things that we've contemplated, whether it's space travel or solutions to diseases that plague us, Ebola virus, all of these things would be a lot more tractable if the machines are trying to solve these problems. "
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Travel
Space
More
" Taking new technology and incorporating into how people work and live is not easy. "
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People
Live
Work
" 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. "
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You
Back
Realize
" Everybody should do at least one startup sometime in life. It's such an amazing ride. "
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Sometime
Amazing
Everybody
" My family is my number one priority. "
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Family
My Number One
Priority
" If you believe everything you read, you are probably quite worried about the prospect of a superintelligent, killer AI. "
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Believe
Killer
Everything
" I like to say I've been working on big data for so long, it used to be small data when I started working on it. "
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Data
Working
Small
" I think it's important for us to have a rule that if a system is really an AI bot, it ought to be labeled as such. 'AI inside.' It shouldn't pretend to be a person. It's bad enough to have a person calling you and harassing you, or emailing you. What if they're bots? An army of bots constantly haranguing you - that's terrible. "
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Enough
Army
You
" Scientists need the infrastructure for scientific search to aid their research, and they need it to offer relevancy and ways to separate the wheat from the chaff - the useful from the noise - via AI-enabled algorithms. With AI, such an infrastructure would be able to identify the exact study a scientist needs from the tens of thousands on a topic. "
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Research
Search
Study
" Machine learning is looking for patterns in data. If you start with racist data, you will end up with even more racist models. This is a real problem. "
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Problem
Looking
Learning
" When you think of driverless cars, there's a huge potential for these cars to save lives by preventing accidents and by reducing congestion on highways. "
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Save
Accidents
You
" What are we going to do as automation increases, as computers get more sophisticated? One thing that people say is we'll retrain people, right? We'll take coal miners and turn them into data miners. Of course, we do need to retrain people technically. We need to increase technical literacy, but that's not going to work for everybody. "
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Say
People
Need
" I don't think that all the coal miners - or even more realistically, say, the truck drivers whose jobs may be put out by self-driving cars and trucks - they're all going to go and become web designers and programmers. "
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Say
Web
Become
" To take intellectual risks is to think about something that can't be done, that doesn't make any sense, and go for it responsibly. "
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Think
Risks
Intellectual
" To say that AI will start doing what it wants for its own purposes is like saying a calculator will start making its own calculations. "
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Start
Say
Will
" I'm not a big fan of self-driving cars where there's no steering wheel or brake pedal. Knowing what I know about computer vision and AI, I'd be pretty uncomfortable with that. But I am a fan of a combined system - one that can brake for you if you fall asleep at the wheel, for example. "
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Knowing
I Am
Fall