Intelligent Systems Quotes

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.

But every time our ability to access information and to communicate it to others is improved, in some sense we have achieved an increase over natural intelligence.

I'd rather see artificial intelligence than no intelligence.

The question of whether a computer can think is no more interesting than the question of whether a submarine can swim.

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.

Over time I think we will probably see a closer merger of biological intelligence and digital intelligence.

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.

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

One of the interesting applications of symbolic systems is artificial intelligence, and I spent some time thinking about how to create a brain that operates the way ours does.

We can build a much brighter future where humans are relieved of menial work using AI capabilities.

It's hard to guess how smart the machines are, but a good rule of thumb is that they're always smarter than you think.

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.

There's an evolution from, today we tell computers to do stuff for us, to where computers can actually do stuff for us. For example, if I go and pick up my kids, it would be good for my car to be aware that my kids have entered the car and change the music to something that's appropriate for them.

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.

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

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.

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.

I think computer viruses should count as life.

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.

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

Imagine if we can just talk to our computers and have it understand, 'Please schedule a meeting with Bob for next week.' Or if each child could have a personalized tutor. Or if self-driving cars could save all of us hours of driving.

This is not the wisdom of the crowd, but the wisdom of someone in the crowd. It’s not that the network itself is smart; it’s that the individuals get smarter because they’re connected to the network.

My principal professional objective is to introduce intelligence as the ubiquitous utility. I'd like to be the Thomas Edison of intelligence.

It seemed really amazing that you could write a few lines of code and have it learn to do interesting things.