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Geoffrey Hinton
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The paradigm for intelligence was logical reasoning, and the idea of what an internal representation would look like was it would be some kind of symbolic structure. That has completely changed with these big neural nets.
- Geoffrey Hinton
#Big
#Intelligence
#Look
#Representation
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.
- Geoffrey Hinton
#Better
#Brain
#Excited
#How
#Way
I feel slightly embarrassed by being called 'the godfather.'
- Geoffrey Hinton
#Being
#Embarrassed
#Feel
#I Feel
I think the way we're doing computer vision is just wrong.
- Geoffrey Hinton
#Doing
#Just
#Vision
#Way
#Wrong
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.
- Geoffrey Hinton
#Computers
#Hard
#Irony
#Master
#Reach
The brain sure as hell doesn't work by somebody programming in rules.
- Geoffrey Hinton
#Brain
#Hell
#Programming
#Rules
#Work
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.
- Geoffrey Hinton
#Big
#Everything
#Great
#Logic
#Work
I think it's very clear now that we will have self-driving cars.
- Geoffrey Hinton
#Clear
#I Think
#Now
#Think
#Will
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.
- Geoffrey Hinton
#Answer
#Big
#Data
#Information
#Right
In science, you can say things that seem crazy, but in the long run, they can turn out to be right. We can get really good evidence, and in the end, the community will come around.
- Geoffrey Hinton
#Community
#Crazy
#Good
#Long
#Science
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.
- Geoffrey Hinton
#Brain
#Data
#Experience
#Good
#Work
Making everything more efficient should make everybody happier.
- Geoffrey Hinton
#Everything
#Make
#Making
#More
#Should
Any new technology, if it's used by evil people, bad things can happen. But that's more a question of the politics of the technology.
- Geoffrey Hinton
#Bad
#Evil
#New
#Politics
#Technology
Take any old classification problem where you have a lot of data, and it's going to be solved by deep learning. There's going to be thousands of applications of deep learning.
- Geoffrey Hinton
#Data
#Deep
#Learning
#Old
#Problem
#Take
I got fed up with academia and decided I would rather be a carpenter.
- Geoffrey Hinton
#Carpenter
#Fed Up
#Got
#Rather
#Up
In the long run, curiosity-driven research just works better... Real breakthroughs come from people focusing on what they're excited about.
- Geoffrey Hinton
#Better
#Long
#People
#Real
#Research
In A.I., the holy grail was how do you generate internal representations.
- Geoffrey Hinton
#Generate
#Grail
#Holy
#How
#Internal
I have always been convinced that the only way to get artificial intelligence to work is to do the computation in a way similar to the human brain. That is the goal I have been pursuing. We are making progress, though we still have lots to learn about how the brain actually works.
- Geoffrey Hinton
#Brain
#Intelligence
#Progress
#Way
#Work
Humans are still much better than computers at recognizing speech.
- Geoffrey Hinton
#Better
#Computers
#Speech
#Still
#Than
Computers will understand sarcasm before Americans do.
- Geoffrey Hinton
#Computers
#Sarcasm
#Understand
#Will
Early AI was mainly based on logic. You're trying to make computers that reason like people. The second route is from biology: You're trying to make computers that can perceive and act and adapt like animals.
- Geoffrey Hinton
#Adapt
#Biology
#Computers
#Logic
#People
The pooling operation used in convolutional neural networks is a big mistake, and the fact that it works so well is a disaster.
- Geoffrey Hinton
#Big
#Disaster
#Mistake
#Operation
#Well
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