Quote

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.

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.

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.

I'm fascinated by artificial intelligence.

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

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

Artificial intelligence, in fact, is obviously an intelligence transmitted by conscious subjects, an intelligence placed in equipment. It has a clear origin, in fact, in the intelligence of the human creators of such equipment.

When you program a robot to be intelligent, you learn a number of things. You become very humble and develop enormous respect for natural intelligence because, even if you work day and night for several years, your robot isn't that smart after all.

By their very nature, heuristic shortcuts will produce biases, and that is true for both humans and artificial intelligence, but the heuristics of AI are not necessarily the human ones.

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