Nicholas Negroponte Quotes

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.

The real goal of AI is to understand and build devices that can perceive, reason, act, and learn at least as well as we can.

IA is something that is proceeding very naturally, in most cases not even recognized by its developers for what it is.

I believe that at the end of the century the use of words and general educated opinion will have altered so much that one will be able to speak of machines thinking without expecting to be contradicted.

I will argue that in the literal sense the programmed computer understands what the car and the adding machine understand, namely, exactly nothing.

We wanted to solve robot problems and needed some vision, action, reasoning, planning, and so forth. We even used some structural learning, such as was being explored by Patrick Winston.

My goal is to create friend machines. Friendly genius machines. Machines with genius capabilities.

I am suggesting that we recognize that in network and interface research there is something as profound (and potential wild) as Artificial Intelligence.

A smart model is a good model.

Is artificial intelligence less than our intelligence?

Artificial intelligence is always 20 years away.

In order to be truly intelligent, computers must understand - that is probably the critical word.

I'd rather see artificial intelligence than no intelligence.

I definitely fall into the camp of thinking of AI as augmenting human capability and capacity.

If we can make computers more intelligent - and I want to be careful of AI hype - and understand the world and the environment better, it can make life so much better for many of us. Just as the Industrial Revolution freed up a lot of humanity from physical drudgery I think AI has the potential to free up humanity from a lot of the mental drudgery.

Look, when AIs come up, they're not going to be like us. A self-aware, sentient AI is not going to be like a human.

We want to build intelligence that augments human abilities and experiences.

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.

It's hard to say how far we are down the road to our conventional understanding of artificial intelligence, but I think what we've developed so far, if it's not already consciously awake and hiding from us because it's seen what an ugly and destructive race we are, and it's trying to preserve itself, it's probably in a state of dreaming.

The future of Windows is to let the computer see, listen and even learn.

Think about when a digital business marries up with what I'll call 'digital intelligence.' It is the dawn of a new era about being a 'cognitive' business. When every product, every service, how you run your company can actually have a piece that learns and thinks as part of it, you will be a cognitive business.

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.

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.

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.