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 HintonRead
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.'
Interpretation
What this quote means
This quote reflects the challenges faced during a graduate career and the persistence required in research.
Geoffrey Hinton describes the tumultuous nature of his graduate studies, characterized by conflicts and the need to continually advocate for the potential of neural networks. Despite facing skepticism, he demonstrates determination, negotiating additional time to prove the validity of his work, which highlights the resilience and commitment often necessary in academic and scientific endeavors.
Themes
GraduateNeural NetsPersistenceResilienceResearch
In practice
Example use cases
During a conference on artificial intelligence, one might use this quote to illustrate the persistence required in research.
More from Geoffrey Hinton
All quotes βEverybody 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.
Geoffrey HintonRead
In the long run, curiosity-driven research just works better... Real breakthroughs come from people focusing on what they're excited about.
Geoffrey HintonRead
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 HintonRead
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 HintonRead
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 HintonRead
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