William Hurt 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.

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."

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.

Robots have already surpassed human beings in calculation and memory, but I have no doubt that the time will come when they will surpass in wisdom as well.

Everyone talks about how much data's in the world. Except, actually, 80% of it is pretty blind to computers. I mean, it can store it. But if it's a movie, a poem, a song, it doesn't know what it's actually saying or doing.

Watson augments human decision-making because it isn't governed by human boundaries. It draws together all this information and forms hypotheses, millions of them, and then tests them with all the data it can find. It learns over time what data is reliable, and that's part of its learning process.

Artificial intelligence is one of 50 things that Watson does. There is also machine learning, text-to-speech, speech-to-text, and different analytical engines - they're like little Lego bricks. You can put intelligence in any product or any process you have.

Google seems to be more intelligent than some people.

Human players have their strengths and weaknesses and Watson is the same way. He just has different strengths and weaknesses than most people.

Computers ought to help people find their own best path through lots of textual information.

The sad thing about artificial intelligence is that it lacks artifice and therefore intelligence.

Interactive computers and software will, I think, provide a less costly method of doing some kinds of inquiry, in knowledge acquisition and even reasoning and interaction.

I think what's really amazing is that given the scale of the web and getting the compute power we have today, we're starting to see things that appear intelligent but actually aren't semantically intelligent.

Language is too complex for a computer to understand. It's not going to be able to make sense of what people are saying en masse. We need a new type of discipline that puts together computer scientists and social scientists, who can add context to the situation.

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

To devise an information processing system capable of getting along on its own - it must handle its own problems of programming, bookkeeping, communication and coordination with its users. It must appear to its users as a single, integrated personality.

We could construct a machine that is more intelligent than we can understand. It's possible Google is that kind of thing already. It scales so fast.

We've seen computers play chess and beat grand masters. We've seen computers drive a car across a desert. But interestingly, playing chess is easy, but having a conversation about nothing is really difficult for a computer.

My car and my adding machine understand nothing: they are not in that line of business.

There are three basic approaches to AI: Case-based, rule-based, and connectionist reasoning.

AI2 was born from a desire to create a system that could truly reason about knowledge, rather than just offer up what had been written on a subject before.

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.

A new, a vast, and a powerful language is developed for the future use of analysis, in which to wield its truths so that these may become of more speedy and accurate practical application for the purposes of mankind than the means hitherto in our possession have rendered possible.

There's a long history of artificial intelligence programs that try to mimic what the brain is doing, but they've all fallen short.