Geoffrey Hinton Quotes

Geoffrey Hinton
Geoffrey Hinton
British Psychologist
Born: Dec 6, 1947
Better Big Neural People Work You
Related authors: Abraham Maslow B. F. Skinner Carl Jung Erich Fromm Jordan Peterson Sigmund Freud Viktor E. Frankl Wayne Dyer
Computers will understand sarcasm before Americans do. Geoffrey Hinton
Will Before Computers Understand American Sarcasm
The brain sure as hell doesn't work by somebody programming in rules. Geoffrey Hinton
Work Somebody Hell Programming Rules Sure Brain
A deep-learning system doesn't have any explanatory power. Geoffrey Hinton
Power System Any
Deep learning is already working in Google search and in image search; it allows you to image-search a term like 'hug.' It's used to getting you Smart Replies to your Gmail. It's in speech and vision. It will soon be used in machine translation, I believe. Geoffrey Hinton
You Learning Vision Smart Will Google Hug Translation Believe Machine Soon Term Like Getting Working Your Used Deep Search Image Speech
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
Work Good Experience Every Systems Thousand Finding Parameters About Ten Data Structure Like Make How Brain Them Much Really Second Every Second
We want to take AI and CIFAR to wonderful new places, where no person, no student, no program has gone before. Geoffrey Hinton
Wonderful AI Before Gone Student Take New New Places Person Where Want Places Program
I think it's very clear now that we will have self-driving cars. Geoffrey Hinton
Car Will Think Clear Very Now
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. Geoffrey Hinton
Good Knowledge You People AI Believe Way Bits System Would Able Only Take Put Like Most Particularly Make Learn Quantify Hand Lot Get Going Want Younger Now Amount Millions
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
Work Great You Big Think Programming Everything Paradigm Logic Nets Neural Instead Learn How Get Going Representation Just Them Internal Now Things
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
Intelligence Logical Big Changed Paradigm Kind Would Would-Be Some Nets Structure Neural Idea Like Look Representation Internal Reasoning Symbolic
I have a Reagan-like ability to believe in my own data. Geoffrey Hinton
Own Believe Ability Data My Own
In a sensibly organised society, if you improve productivity, there is room for everybody to benefit. Geoffrey Hinton
You Society Everybody Benefit Improve Sensibly Room Organised Productivity
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. Geoffrey Hinton
Life Work Government Saying Happy People Money Try AI Spent Some Nets Neural Never Call Calling Industry Mocking Get Anything Them Who Now Started
I think the way we're doing computer vision is just wrong. Geoffrey Hinton
Vision Think Way Computer Wrong Doing Just
My view is we should be doing everything we can to come up with ways of exploiting the current technology effectively. Geoffrey Hinton
Technology Everything Ways Come Doing Effectively Up Current Exploiting Should View
The NSA is already bugging everything that everybody does. Each time there's a new revelation from Snowden, you realise the extent of it. Geoffrey Hinton
Time You Everybody Everything New Bugging Does Revelation Snowden Realise Each Each Time Extent
The role of radiologists will evolve from doing perceptual things that could probably be done by a highly trained pigeon to doing far more cognitive things. Geoffrey Hinton
Will Evolve More Perceptual Could Highly Pigeon Doing Trained Role Done Far Things Cognitive
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
You Learning Problem Old Thousands Solved Classification Data Take Lot Any Going Where Deep Applications

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