Computing
in sentence
302 examples of Computing in a sentence
If you go into that phone, every single thing in that phone or computer or any other
computing
device is mathematics.
There is in a sense a
computing
essence.
One of those is a set of plans that we call Plan 28, and that is also the name of a charity that I started with Doron Swade, who was the curator of
computing
at the Science Museum, and also the person who drove the project to build a difference engine, and our plan is to build it.
It's spaces like these that spawned personal
computing.
We're kind of stuck in a loop, perhaps, and this sense of possibility from
computing
is something I've been questioning for the last 10 or so years, and have looked to design, as we understand most things, and to understand design with our technology has been a passion of mine.
So what did we find after
computing
all this network control?
And with the kind of
computing
power we have now, there is, as I say, some of this going on, but it needs money.
The technologies that are coming, high-performance computing, analytics, big data that everyone's talking about, will allow us to build predictive models for each of us as individual patients.
Now it took about two weeks of processing on Intel's highest-end servers to make this happen, and another six months of human and
computing
labor to make sense of all of that data.
So we joined forces with Georgia Tech, with Thad Starner's wearable
computing
group, to build us an underwater wearable computer that we're calling CHAT.
And this gap has become shorter, shorter, and even shorter, and now this gap is shortened down to less than a millimeter, the thickness of a touch-screen glass, and the power of
computing
has become accessible to everyone.
If we think of the world-changing goals of an Intel, of a Nuna, of Bono, of Google, they're remarkable: ubiquitous computing, affordable health care, high-quality for everyone, ending global poverty, access to all the world's information.
And we're learning from neural nets, genetic algorithms, evolutionary
computing.
This Ethiopic cross illustrates what Dr. Ron Eglash has established: that Africa has a lot to contribute to
computing
and mathematics through their intuitive grasp of fractals.
What happens when you combine these technologies together: increasing availability of facial data; improving facial recognizing ability by computers; but also cloud computing, which gives anyone in this theater the kind of computational power which a few years ago was only the domain of three-letter agencies; and ubiquitous computing, which allows my phone, which is not a supercomputer, to connect to the Internet and do there hundreds of thousands of face metrics in a few seconds?
Then the Internet revolution brought us
computing
power, data networks, unprecedented access to information and communication, and our lives have never been the same.
Of course, electronic sensors have been around for some time, but something has changed: a sharp decline in the cost of sensors and, thanks to advances in cloud computing, a rapid decrease in the cost of storing and processing data.
We can do this through online labs and use
computing
power to build these online labs.
So really having
computing
work and understand you and understand that information, we really haven't done that yet.
You must have near-continuous communication with high-performance
computing
networks and with others nearby to understand their intent.
Machine vision, special sensors, and high-performance
computing
can do a lot of this, but it turns out a lot is not good enough when your family is on board.
It's doing science that allowed us to develop all these mechanisms for
computing
this personal data in the first place.
The National Science Foundation's Broadening Participation in
Computing
program recently awarded us a grant to make a programmable version of these design tools, so hopefully in three years, anybody'll be able to go on the Web and create their own simulations and their own artifacts.
So is binary the end-all-be-all of
computing?
I am a computer science and engineering professor here at Carnegie Mellon, and my research focuses on usable privacy and security, and so my friends like to give me examples of their frustrations with
computing
systems, especially frustrations related to unusable privacy and security.
And this for me was not yet the Media Lab, but was the beginning of what I'll call sensory computing, and I pick fingers partly because everybody thought it was ridiculous.
So I say this a little bit with having felt that I'd been there a number of times, and one of the things that is most quoted that I've ever said is that
computing
is not about computers, and that didn't quite get enough traction, and then it started to.
Enough TED Talks on One Laptop per Child, so I'll go through it very fast, but it did give us the chance to do something at a relatively large scale in the area of learning, development and
computing.
You can view it as a
computing
problem, an artificial intelligence problem: do you need to incorporate some sort of analog of happiness into a computer brain to make it work properly?
It's essentially a general purpose
computing
device, and it just takes in everything and figures out what it's going to do with it, and that, I think, frees up Mother Nature to tinker around with different sorts of input channels.
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