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.
Sentiment: POSITIVE
I definitely fall into the camp of thinking of AI as augmenting human capability and capacity.
When people speak of creating superhumanly intelligent beings, they are usually imagining an AI project.
We do know that we can set certain algorithms for machines to do certain things - now that may be a simple task. A factory robot that moves one object from here to there. That's a very simple top-down solution. But when we start creating machines that learn for themselves, that is a whole new area that we've never been in before.
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.
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.
Our goal is simple objects, objects that you can't imagine any other way.
Artificial intelligence is growing up fast, as are robots whose facial expressions can elicit empathy and make your mirror neurons quiver.
We must develop as quickly as possible technologies that make possible a direct connection between brain and computer, so that artificial brains contribute to human intelligence rather than opposing it.
We want to build intelligence that augments human abilities and experiences.
There are three basic approaches to AI: Case-based, rule-based, and connectionist reasoning.
No opposing quotes found.