Arthur Conan Doyle Quotes

Artificial intelligence would be the ultimate version of Google. The ultimate search engine that would understand everything on the Web. It would understand exactly what you wanted, and it would give you the right thing. We're nowhere near doing that now. However, we can get incrementally closer to that, and that is basically what we work on.

Mimicking the intricacies of the human brain, a neuro-inspired computer would work in a fashion similar to the way neurons and synapses communicate. It could potentially learn or develop memory.

I'm working on artificial intelligence. Actually, natural language understanding, which is to get computers to understand the meaning of documents.

The thing that's going to make artificial intelligence so powerful is its ability to learn, and the way AI learns is to look at human culture.

Data is going to be dynamic... and, combined with the performance of computing that allows for artificial intelligence to be applied, is going to bring all kinds of insights and additives to enhance everyday life.

None of us today know how to get computers to learn with the speed and flexibility of a child.

Most of the value of deep learning today is in narrow domains where you can get a lot of data. Here's one example of something it cannot do: have a meaningful conversation.

You could claim that moving from pixelated perception, where the robot looks at sensor data, to understanding and predicting the environment is a Holy Grail of artificial intelligence.

We're making progress, but getting machines to replicate our ability to perceive and manipulate the world remains incredibly hard.

The problem with Google is you have 360 degrees of omnidirectional information on a linear basis, but the algorithms for irony and ambiguity are not there. And those are the algorithms of wisdom.

Everybody 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.

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.

It turns out you can train a neural network on a big body of text. It can be Wikipedia; it can be all the works of Charles Dickens; it could be all of the Internet. They can use grammar and put words together in interesting and convincing ways - and, I think, unexpected and beautiful ways.

Artificial intelligence is the science of making machines do things that would require intelligence if done by men.

One of our big goals in search is to make search that really understands exactly what you want, understands everything in the world. As computer scientists, we call that artificial intelligence.

From one perspective, we're in the early stage in artificial intelligence, but exponentials start out slowly, and then they take off.

You may not realize it, but artificial intelligence is all around us.

I think people need to understand that deep learning is making a lot of things, behind-the-scenes, much better. Deep learning is already working in Google search, and in image search; it allows you to image search a term like "hug."

Until computers and robots make quantum advances, they basically remain adding machines: capable only of doing things in which all the variables are controlled and predictable. Robots are bad at pattern recognition and certainly at common sense. That's why computers can beat humans in chess but can't have even a basic conversation with a six-year-old.

The strange flavour of AI work is that people try to put together long sets of rules in strict formalisms which tell inflexible machines how to be flexible.

If you wanted to design a robot that could learn as well as it possibly could, you might end up with something that looked a lot like a 3-year-old.

I'm fascinated by artificial intelligence.

AI does not keep me up at night. Almost no one is working on conscious machines. Deep learning algorithms, or Google search, or Facebook personalization, or Siri or self driving cars or Watson, those have the same relationship to conscious machines as a toaster does to a chess-playing computer.

We want Google to be the third half of your brain.

The ultimate search engine would basically understand everything in the world, and it would always give you the right thing. And we're a long, long ways from that.