Geoffrey Everest Hinton CC FRS FRSC是一位英裔加拿大认知心理学家和计算机科学家，最著名的工作是人工神经网络。自2013年以来，他一直在谷歌和多伦多大学工作。2017年，他共同创立并成为多伦多病媒研究所的首席科学顾问。
In the long run, curiosity-driven research just works better... Real breakthroughs come from people focusing on what they're excited about.
Computers will understand sarcasm before Americans do.
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.
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.
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.
I think it's very clear now that we will have self-driving cars.
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.