Computing
in sentence
302 examples of Computing in a sentence
This was how
computing
began.
Today, you just need to know someone who knows someone who owns a telephone, because
computing
is an exponential technology.
And this stuff is moving quicker than
computing.
That shows us how quickly
computing
is getting cheaper.
Our advances in understanding protein folding and how to design proteins, coupled with the decreasing cost of gene synthesis and the Moore's law increase in
computing
power, now enable us to design tens of thousands of new proteins, with new shapes and new functions, on the computer, and encode each one of those in a synthetic gene.
The main obstacles to doing so are
computing
power and storage space, both of which are improving every year.
Nobody has yet built an artificial network with 86 billion neurons, but as
computing
technology improves, it may be possible to keep track of such massive data sets.
It has the approximate
computing
power of an earthworm, or maybe at most a single honeybee, and actually, probably maybe less.
Another possible place to look comes from the concept that finite
computing
power, no matter how huge, can’t simulate infinities.
If space and time are continuous, then even a tiny piece of the universe has infinite points and becomes impossible to simulate with finite
computing
power.
One of the people that I recently met with was an Air Force three-star general, and he said basically, where we're headed very soon is tens of thousands of robots operating in our conflicts, and these numbers matter, because we're not just talking about tens of thousands of today's robots, but tens of thousands of these prototypes and tomorrow's robots, because of course, one of the things that's operating in technology is Moore's Law, that you can pack in more and more
computing
power into those robots, and so flash forward around 25 years, if Moore's Law holds true, those robots will be close to a billion times more powerful in their
computing
than today.
With this data and new
computing
technology, engineers could model how stiff the soil was, the tower’s trajectory, and the exact amount of excavation needed for the tower to remain standing.
So it's going to take a lot of
computing
power, because I want the idea that any laptop anywhere in the world can plug into the system and be able to not only participate in developing these designs, but utilize the designs.
And Moore's Law was not the first paradigm to bring exponential growth to
computing.
The exponential growth of
computing
started decades before Gordon Moore was even born.
And that was the end of the shrinking of vacuum tubes, but it was not the end of the exponential growth of
computing.
Our whole practice depends on
computing.
But the computer should not just be the glove of the hand; the hand should really be the driver of the
computing
power.
With this approach, instead of painstakingly testing thousands of existing molecules one by one in a lab for their effectiveness, we can train a computer to explore the exponentially larger space of essentially all possible molecules that could be synthesized, and thus, instead of looking for a needle in a haystack, we can use the giant magnet of
computing
power to find many needles in multiple haystacks simultaneously.
Now, when you have initiatives like the $100 laptop, I kind of cringe at the idea of introducing a whole new generation to
computing
with this standard mouse-and-windows-pointer interface.
There will be a million-fold improvement in what you can get for the same price in
computing
by 2030.
Unlike most of our
computing
devices, these objects are much more fun to use.
I was taking some part of the objects, or any of the intuitiveness of real life, and bringing them to the digital world, because the goal was to make our
computing
interfaces more intuitive.
But then I realized that we humans are not actually interested in
computing.
So, we are looking for an era where
computing
will actually merge with the physical world.
Of course you can browse to any websites or you can do all sorts of
computing
on a piece of paper wherever you need it.
We have gone through the stages of simulation, design, computing, preparing the construction of the first prototype.
So, energy and matter, Einstein showed were equivalent, and now new sciences of quantum
computing
show that entropy and information and matter and energy are all interrelated.
And what's happening here is that Wolfram Alpha is not just looking up something; it's computing, in real time, where the International Space Station is right now at this moment, how fast it's going, and so on.
You know, I've realized that Wolfram Alpha actually gives one a whole new kind of
computing
that one can call knowledge-based computing, in which one's starting not just from raw computation, but from a vast amount of built-in knowledge.
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