Marvin Minsky Quotes

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.

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.

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.

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.

We often attribute 'understanding' and other cognitive predicates by metaphor and analogy to cars, adding machines, and other artifacts, but nothing is proved by such attributions.

The computing world is very good at things that we are not. It is very good at memory.

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.

When you apply computer science and machine learning to areas that haven't had any innovation in 50 years, you can make rapid advances that seem really incredible.

My background really comes from geekdom and the idea of building a smart machine. If we're going to build a smart machine, let's have it read good books.

People are good at figuring out what's attractive, and computers are good at quickly searching and finding. You put them together, and bang!

Our robots are signing up for online learning. After decades of attempts to program robots to perform complex tasks like flying helicopters or surgical suturing, the new approach is based on observing and recording the motions of human experts as they perform these feats.

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

One thing that humans still do better than computers is recognize images.

People are good at intuition, living our lives. What are computers good at? Memory.

I believed in realism, as summarized by John McCarthy's comment to the effect that if we worked really hard, we'd have an intelligent system in from four to four hundred years.

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.

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

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

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

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.

Artificial intelligence... I've been following that since I was in high school.

When I was a graduate student in computer science in the early 2000s, computers were barely able to detect sharp edges in photographs, let alone recognize something as loosely defined as a human face.

Things like chatbots, machine learning tools, natural language processing, or sentiment analysis are applications of artificial intelligence that may one day profoundly change how we think about and transact in travel and local experiences.

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

Understanding vision and building visual systems is really understanding intelligence.