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Geoffrey Hinton Quotes
British-Canadian computer scientist, cognitive scientist, cognitive psychologist
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.
Hinton, Geoffrey
Irony is going to be hard to get. You have to be master of the literal first. But then, Americans don't get irony either. Computers are going to reach the level of Americans before Brits.
Hinton, Geoffrey
I think it's very clear now that we will have self-driving cars.
Hinton, Geoffrey
I think the way we're doing computer vision is just wrong.
Hinton, Geoffrey
I feel slightly embarrassed by being called 'the godfather.'
Hinton, Geoffrey
We now think of internal representation as great big vectors, and we do not think of logic as the paradigm for how to get things to work. We just think you can have these great big neural nets that learn, and so, instead of programming, you are just going to get them to learn everything.
Hinton, Geoffrey
My father was an entomologist who believed in continental drift. In the early '50s, that was regarded as nonsense. It was in the mid-'50s that it came back. Someone had thought of it 30 or 40 years earlier named Alfred Wegener, and he never got to see it come back.
Hinton, Geoffrey
I am betting on Google's team to be the epicenter of future breakthroughs.
Hinton, Geoffrey
A deep-learning system doesn't have any explanatory power.
Hinton, Geoffrey
Making everything more efficient should make everybody happier.
Hinton, Geoffrey
I got fed up with academia and decided I would rather be a carpenter.
Hinton, Geoffrey
We want to take AI and CIFAR to wonderful new places, where no person, no student, no program has gone before.
Hinton, Geoffrey
Most people at CMU thought it was perfectly reasonable for the U.S. to invade Nicaragua. They somehow thought they owned it.
Hinton, Geoffrey
The brain sure as hell doesn't work by somebody programming in rules.
Hinton, Geoffrey
Humans are still much better than computers at recognizing speech.
Hinton, Geoffrey
My main interest is in trying to find radically different kinds of neural nets.
Hinton, Geoffrey
Once your computer is pretending to be a neural net, you get it to be able to do a particular task by just showing it a whole lot of examples.
Hinton, Geoffrey
I have a Reagan-like ability to believe in my own data.
Hinton, Geoffrey
The pooling operation used in convolutional neural networks is a big mistake, and the fact that it works so well is a disaster.
Hinton, Geoffrey
Everybody right now, they look at the current technology, and they think, 'OK, that's what artificial neural nets are.' And they don't realize how arbitrary it is. We just made it up! And there's no reason why we shouldn't make up something else.
Hinton, Geoffrey
In the long run, curiosity-driven research just works better... Real breakthroughs come from people focusing on what they're excited about.
Hinton, Geoffrey
All you need is lots and lots of data and lots of information about what the right answer is, and you'll be able to train a big neural net to do what you want.
Hinton, Geoffrey
The brain has about ten thousand parameters for every second of experience. We do not really have much experience about how systems like that work or how to make them be so good at finding structure in data.
Hinton, Geoffrey
Machines can do things cheaper and better. We're very used to that in banking, for example. ATM machines are better than tellers if you want a simple transaction. They're faster, they're less trouble, they're more reliable, so they put tellers out of work.
Hinton, Geoffrey
I get very excited when we discover a way of making neural networks better - and when that's closely related to how the brain works.
Hinton, Geoffrey
The NSA is already bugging everything that everybody does. Each time there's a new revelation from Snowden, you realise the extent of it.
Hinton, Geoffrey
Most people in AI, particularly the younger ones, now believe that if you want a system that has a lot of knowledge in, like an amount of knowledge that would take millions of bits to quantify, the only way to get a good system with all that knowledge in it is to make it learn it. You are not going to be able to put it in by hand.
Hinton, Geoffrey
The question is, can we make neural networks that are 1,000 times bigger? And how can we do that with existing computation?
Hinton, Geoffrey
My view is we should be doing everything we can to come up with ways of exploiting the current technology effectively.
Hinton, Geoffrey
I had a stormy graduate career, where every week we would have a shouting match. I kept doing deals where I would say, 'Okay, let me do neural nets for another six months, and I will prove to you they work.' At the end of the six months, I would say, 'Yeah, but I am almost there. Give me another six months.'
Hinton, Geoffrey
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