Intelligence
in sentence
2639 examples of Intelligence in a sentence
It becomes interesting when you put artificial
intelligence
into it.
Can we use the physical simulation of the character, use artificial intelligence, put that artificial
intelligence
into the character, drive virtual muscles, simulate the way he jumps off the dam, and then skydive afterwards, and have him caught by a bungee afterwards?
And we tend to fall in love with somebody from the same socioeconomic background, the same general level of intelligence, of good looks, the same religious values.
(Ethereal music) (Pitch rises with acceleration) Cars are a metaphor of time, distance and journey, of setting out and returning, of anticipation and adventure, but, at the same time, of
intelligence
and complexity, of human intuition and accomplishment.
Her highest strength was social
intelligence.
I believe that talent and
intelligence
are equally distributed throughout the world.
I think it's our collective
intelligence.
And my dad talked about his character, his discipline, his intelligence, his athleticism.
So you begin to think of a shoe as a chip with heels, and a car as a chip with wheels, because basically most of the cost of manufacturing cars is the embedded
intelligence
and electronics in it, and not the materials.
It'll have an
intelligence
in there, that's not, again, conscious.
I want to talk about emotions and the need to boost our emotional
intelligence.
And when you wake up in the morning and you read the newspaper and it says, "The robots are coming, they may take all our jobs," as a start-up investor focused on the future of work, our fund was the first one to say artificial
intelligence
should be a focus for us.
So, I think in the next 20 years, if we can get rid of all of the traditional approaches to artificial intelligence, like neural nets and genetic algorithms and rule-based systems, and just turn our sights a little bit higher to say, can we make a system that can use all those things for the right kind of problem?
Part of the trick was building a better cleaning mechanism, actually; the
intelligence
on board was fairly simple.
The robot has local intelligence: it can flip itself over, can get itself into communication range, can go upstairs by itself, et cetera.
And the social and emotional
intelligence
it takes to read somebody's words and tone and body language are skills that often need to be explicitly taught, the same way we teach things like reading and math.
And by this, I don't mean human-level AI, or science fiction artificial intelligence; I simply mean that machines and algorithms are making decisions.
So when people voice fears of artificial intelligence, very often, they invoke images of humanoid robots run amok.
What we need to fear most is not what artificial
intelligence
will do to us on its own, but how the people in power will use artificial
intelligence
to control us and to manipulate us in novel, sometimes hidden, subtle and unexpected ways.
Now, artificial
intelligence
has started bolstering their business as well.
And it may seem like artificial
intelligence
is just the next thing after online ads.
And that's just one of the basic things that artificial
intelligence
can do.
It's like we're not programming anymore, we're growing
intelligence
that we don't truly understand.
These algorithms can quite easily infer things like your people's ethnicity, religious and political views, personality traits, intelligence, happiness, use of addictive substances, parental separation, age and genders, just from Facebook likes.
We have to mobilize our technology, our creativity and yes, our politics so that we can build artificial
intelligence
that supports us in our human goals but that is also constrained by our human values.
So to go back to that Hollywood paraphrase, we do want the prodigious potential of artificial
intelligence
and digital technology to blossom, but for that, we must face this prodigious menace, open-eyed and now.
However, octopus
intelligence
evolved from a different evolutionary line, separate from that of human beings, so the foundation is different.
Chris Anderson: Help us understand what machine learning is, because that seems to be the key driver of so much of the excitement and also of the concern around artificial
intelligence.
Sebastian Thrun: So, artificial
intelligence
and machine learning is about 60 years old and has not had a great day in its past until recently.
So, say the goal is to do better on an
intelligence
test.
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