Network
in sentence
1605 examples of Network in a sentence
Fatuma is part of a
network
of women that are fighting abuses in Kenya.
This is a map of the relationships between people in my hometown of Baltimore, Maryland, and what you can see here is that each dot represents a person, each line represents a relationship between those people, and each color represents a community within the
network.
Now, on the other side of the network, you tend to have primarily African-American and Latino folks who are really concerned about somewhat different things than the geeks are, but just to give some sense, the green part of the
network
we call Smalltimore, for those of us that inhabit it, because it seems as though we're living in a very small town.
On the other end of the network, you have folks who are interested in things like hip-hop music and they even identify with living in the DC/Maryland/Virginia area over, say, the Baltimore city designation proper.
Under Armour, you may have heard of, is a Baltimore company, and that community of sports acts as the only bridge between these two ends of the
network.
On the one hand, you do have the media, politics and news lobe that tends to exist in Baltimore and other cities, but you also have this very predominant group of geeks and techies that are sort of taking over the top half of the network, and there's even a group that's so distinct and clear that we can identify it as Twitter employees, next to the geeks, in between the gamers and the geeks, at the opposite end of the hip-hop spectrum.
And I realized that we had a frontier here, a very important one, that it was just a matter of changing the perspective, and the web could be actually used, already used, as a colossal and uncontrollable and highly anarchical TV channel, TV network, and anyone with very basic skills and very basic equipment, even someone like me who had this little stuttering issue, so if it happens, bear with me please, even someone like me could become a broadcaster.
But we had a very solid and clear conviction, that we knew that the hyperconnected environment of social media could maybe allow us to consolidate a
network
of experimental journalists throughout the country.
So in a matter of a week or two, as the protests kept happening, we were hundreds of young people connected in this
network
throughout the country.
I said that livestream could turn the web into a colossal TV network, but I believe it does something else, because after watching people using it, not only to cover things but to express, to organize themselves politically, I believe livestream can turn cyberspace into a global political arena where everyone might have a voice, a proper voice, because livestream takes the monopoly of the broadcast political discourse, of the verbal aspect of the political dialogue out of the mouths of just politicians and political pundits alone, and it empowers the citizen through this direct and non-mediated power of exchanging experiences and dialogue, empowers them to question and to influence authorities in ways in which we are about to see.
Toyota, instead of treating its suppliers as a marketplace, treats them as a
network
and trains them to produce better, even though they are also training them to produce better for their competitors.
Nowadays, a
network
of tweets can unleash a global awareness campaign.
In Turkey, I watched four young college students organize a countrywide citizen journalism
network
called 140Journos that became the central hub for uncensored news in the country.
So if we can use some device to listen to the sounds of the forest, connect to the cell phone
network
that's there, and send an alert to people on the ground, perhaps we could have a solution to this issue for them.
The moment a sound of a chainsaw is heard in the forest, the device picks up the sound of the chainsaw, it sends an alert through the standard GSM
network
that's already there to a ranger in the field who can in fact show up in real time and stop the logging.
As it turned out, the wealth of information provided by ImageNet was a perfect match to a particular class of machine learning algorithms called convolutional neural network, pioneered by Kunihiko Fukushima, Geoff Hinton, and Yann LeCun back in the 1970s and '80s.
Just like the brain consists of billions of highly connected neurons, a basic operating unit in a neural
network
is a neuron-like node.
In a typical neural
network
we use to train our object recognition model, it has 24 million nodes, 140 million parameters, and 15 billion connections.
Powered by the massive data from ImageNet and the modern CPUs and GPUs to train such a humongous model, the convolutional neural
network
blossomed in a way that no one expected.
To do this, agents recruited a
network
of more than 15,000 informants nationwide, all looking for anyone who might be dangerous.
Perhaps reality is some vast, interacting
network
of conscious agents, simple and complex, that cause each other's conscious experiences.
The combination of "Rain Man," the changes to the criteria, and the introduction of these tests created a
network
effect, a perfect storm of autism awareness.
And this new metaphor is the metaphor of the
network.
And what they did here is, they actually segmented the
network
into three different years, represented by the vertical layers that you see behind me.
And the blue lines tie together the people that were present in that
network
year after year.
But recently, scientists discovered that overlaying this tree of life is a dense
network
of bacteria, and these bacteria are actually tying together species that were completely separated before, to what scientists are now calling not the tree of life, but the web of life, the
network
of life.
But even though recent, this metaphor of the network, is really already adopting various shapes and forms, and it's almost becoming a growing visual taxonomy.
It is a computer-generated map of a social
network.
Emma McNally is one of the main leaders of this movement, and she creates these striking, imaginary landscapes, where you can really notice the influence from traditional
network
visualization.
As you actually navigate that space and bounce along those elastic ropes, the entire
network
kind of shifts, almost like a real organic
network
would.
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