Models
in sentence
1964 examples of Models in a sentence
And the crucial point about this is that you then have a fantastic assay to discover drugs, because what would you ask of the drugs, and you could do this through a high-throughput automated screening system, you'd ask the drugs, give me one thing: find me a drug that will bring the red line closer to the blue line, because that drug will be a high-value candidate that you could probably take direct to human trial and almost bypass that bottleneck that I've told you about in drug discovery with the animal models, if that makes sense.
How is that model of colossal sharing across all of those kinds of databases compatible with the business
models
of institutions and organizations and corporations that are involved in this business today?
Fortunately, my family also had engineers in it, and with my parents, these were my first role
models.
We need to help them to find their own role models, and give them the confidence to believe in themselves and to believe that anything is possible, and just as my grandpa did when he took me shopping for surplus, and just as my parents did when they took me to science museums, we need to encourage them to find their own path, even if it's very different from our own.
And as a computer scientist, what this means is that I've been able to build
models
that can predict all sorts of hidden attributes for all of you that you don't even know you're sharing information about.
We have good
models
of it.
The problem is that the revenue
models
for most social media companies rely on sharing or exploiting users' data in some way.
It's sad because the people who I described, they were very disinterested in the learning process, want to be effective teachers, but they have no
models.
So you keep hearing about machine learning and there was a revolution of machine learning recently, in deep learning, and that allowed us to build machine-learning
models
that can understand wireless signals and interpret them so they would know what happened in the environment.
Climate
models
in the 1990s took an even smaller chunk of that, only about three orders of magnitude.
Climate
models
in the 2010s, kind of what we're working with now, four orders of magnitude.
And we keep adding more things, more questions to these different
models.
These
models
are around a million lines of code at this point, and growing by tens of thousands of lines of code every year.
The
models
are skillful, not just in the global mean, but also in the regional patterns.
We can look at that too, and the
models
are skillful.
The
models
are skillful in response to the ice sheets 20,000 years ago.
The
models
are skillful when it comes to the 20th-century trends over the decades.
Each of these different targets, each of these different evaluations, leads us to add more scope to these models, and leads us to more and more complex situations that we can ask more and more interesting questions, like, how does dust from the Sahara, that you can see in the orange, interact with tropical cyclones in the Atlantic?
And if you ask the
models
why did that happen, and you say, okay, well, yes, basically it's because of the carbon dioxide we put into the atmosphere.
But there's one key reason why we look at models, and that's because of this phrase here.
Because if we had observations of the future, we obviously would trust them more than models, But unfortunately, observations of the future are not available at this time.
The differences between these choices can't be answered by looking at
models.
The
models
are skillful, but what we do with the information from those
models
is totally up to you.
First is before there are networks and pathways and role
models
... before there are policies and ways to show us how to go forward.
Because I'm Latina and I really appreciate the fact that there are role
models
here that I can really, I don't know, I just need to say that.
Now, I also think that this is very important so that the next generation really understands that this progress will help them, because they're expecting us to be great role
models.
And we're trying to understand why some colonies forage less than others by thinking about ants as neurons, using
models
from neuroscience.
So you can't use the same
models
that you use in the United States for making things move forward.
So what you see here are controllable
models
of people I built from their internet photos.
Nowadays, most scientists prefer to work inside, so they don't build physical
models
so much as to make computer simulations.
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