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.

In the long run, curiosity-driven research just works better... Real breakthroughs come from people focusing on what they're excited about.

A deep-learning system doesn't have any explanatory power.

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 had a conversation with a biologist in an art gallery, and he persuaded me that it was possible to grow a dress from microbes. It was the craziest thing I had ever heard, but I'm a bit of a science fiction fan and I thought it sounded like an interesting challenge.

Over time, our inescapable, systemic, fundamentally human impurity gives us the capacity to do what has not been done before: to make creative leaps in our biology, in the diseases we can resist and the foods we can digest. And in our thinking and culture and politics, too.

There is a duality in recognising what an incredible disease it is - in terms of its origin, that it emerges out of a normal cell. It's a reminder of what a wonderful thing a normal cell is. In a very cold, scientific sense, I think a cancer cell is a kind of biological marvel.

Carl Sagan spoke fluently between biology and geology and astrophysics and physics. If you move fluently across those boundaries, you realize that science is everywhere; science is not something you can step around or sweep under the rug.