Marvin Minsky Quotes

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.

Twenty-five years ago, the notion was you could create a general problem-solver software that could solve problems in many different domains. That just turned out to be totally wrong.

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.

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.

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

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

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

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.

Nobody phrases it this way, but I think that artificial intelligence is almost a humanities discipline. It's really an attempt to understand human intelligence and human cognition.

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.

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.

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.

I think Lenat is headed in the right direction, but someone needs to include a knowledge base about learning.

Is artificial intelligence less than our intelligence?

Artificial intelligence is always 20 years away.

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.

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.

Despite all the hype and excitement about AI, it's still extremely limited today relative to what human intelligence is.

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

I'd rather see artificial intelligence than no intelligence.

Many researchers are exploring other forms of AI, some of which have proved useful in limited contexts; there may well be a breakthrough that makes higher levels of intelligence possible, but there is still no clear path yet to this goal.

The deep learning techniques, while relatively easy to learn, are quite foreign to traditional engineering modalities. It takes a different mindset and a relaxation of the presumption of control. The practitioners are like magi, sequestered from the rest of a typical engineering process.

To make real progress in A.I., we have to overcome the big challenges in the area of common sense.