Dan Simmons Quotes

If something is as smart as you, do you treat it differently if it isn't a human?

Artificial intelligence is growing up fast, as are robots whose facial expressions can elicit empathy and make your mirror neurons quiver.

This is a magical time for computer programming. We are moving towards the artifical intelligence holy grail of programming the computer to simulate the human brain.

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.

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.

I'd rather see artificial intelligence than no intelligence.

We need to build EQ in our AI systems because, otherwise, they're not going to be as effective as they were designed to be.

If you step back a little and say we want to do A.I., then you will realize that A.I. needs knowledge, reasoning, and explanation.

AI-assisted driving is a perfect platform for advancing fundamental human-centric artificial intelligence research while also producing practical applications.

My own work falls into a subset of AI that is about building artificial emotional intelligence, or Emotion AI for short.

Sometimes it seems as though each new step towards AI, rather than producing something which everyone agrees is real intelligence, merely reveals what real intelligence is not.

I think that the artificial-intelligence people are making a lot of noise recently, claiming that artificial intelligence is making huge progress and we're going to be outstripped by the machines.

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

Machines are on track to be on par with human intelligence in less than 15 years.

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

The field of artificial intelligence is pushing new boundaries.

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'm trying to use AI to make the world a better place. To help scientists. To help us communicate more effectively with machines and collaborate with them.

We really believe that long-term, the way AI will drive is similar to the way humans drive - we don't break the problem down into objects and vision and localization and planning. But how long it will take us to get there is questionable.

Understanding vision and building visual systems is really understanding intelligence.

The brain has about ten thousand parameters for every second of experience. We do not really have much experience about how systems like that work or how to make them be so good at finding structure in data.

I often tell my students not to be misled by the name 'artificial intelligence' - there is nothing artificial about it. AI is made by humans, intended to behave by humans, and, ultimately, to impact humans' lives and human society.

Basically, if you want to have a computer system that could pass the Turing test, it as a machine is going to have to be able to self-reference and use its own experience and the sense data that it's taking in to basically create its own understanding of the world and use that as a reference point for all new sense data that's coming in to it.

Making AI more sensitive to the full scope of human thought is no simple task. The solutions are likely to require insights derived from fields beyond computer science, which means programmers will have to learn to collaborate more often with experts in other domains.

We want to take AI and CIFAR to wonderful new places, where no person, no student, no program has gone before.