Algorithms
in sentence
404 examples of Algorithms in a sentence
For example, these four
algorithms
were all built by the same guy.
So instead of focusing solely on better and better algorithms, my insight was to give the
algorithms
the kind of training data that a child was given through experiences in both quantity and quality.
In hindsight, this idea of using big data to train computer
algorithms
may seem obvious now, but back in 2007, it was not so obvious.
Now that we have the data to nourish our computer brain, we're ready to come back to the
algorithms
themselves.
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.
FFL: Of course, we're still working hard to improve our algorithms, and it still has a lot to learn.
So rather than handcrafting knowledge representations and features, we create
algorithms
that learn, often from raw perceptual data.
And like writing software, we can print and write DNA into different
algorithms
and programs inside of bacteria.
But it turns out that something can be perceptually invisible and still be numerically significant, because with the right algorithms, we can take this silent, seemingly still video and we can recover this sound.
We give our
algorithms
tens of thousands of examples of people we know to be smiling, from different ethnicities, ages, genders, and we do the same for smirks.
I can't tell, nor can any of our algorithms, but in the case of a driver assistance system, that means it can't take action, because again, if it presses the brakes unexpectedly, that's completely unacceptable.
So from nature we take away three organizing principles that essentially allow us to develop our
algorithms.
Now, why are
algorithms
even important?
And since computers are such a pervasive part of everyday life,
algorithms
are everywhere.
Like you use sentences to tell a story to a person, you use
algorithms
to tell a story to a computer.
Typically,
algorithms
are executed by computers, but we humans have
algorithms
as well.
At the end of the day, whether executed by computers or humans,
algorithms
are just a set of instructions with which to solve problems.
So my second insight is that, when we take the Turing test for poetry, we're not really testing the capacity of the computers because poetry-generating algorithms, they're pretty simple and have existed, more or less, since the 1950s.
There's a lot of syntax and controls and data structures and
algorithms
and practices, protocols and paradigms in programming.
And evolutionary algorithms, or genetic
algorithms
that mimic biological evolution, are one promising approach to making machines generate original and valuable artistic outcomes.
Bits could also be packed closer together thanks to mathematical
algorithms
that filter out noise from magnetic interference, and find the most likely bit sequences from each chunk of read-back signal.
And once we capture these images, we feed them through statistical
algorithms
to further enhance and clarify them, using software which was originally designed for satellite images and used by people like geospatial scientists and the CIA.
We're developing new control architectures and
algorithms
that address this limitation.
Even so, it doesn't yet have the sophisticated
algorithms
of the tail-sitter, which means that in order to get it to fly, I have to throw it just right.
We've taken commercially available micro quadcopters, each weighing less than a slice of bread, by the way, and outfitted them with our localization technology and custom
algorithms.
As it turns out, computers are rapidly getting better at image recognition thanks to machine learning algorithms, such as neural networks.
Recognition
algorithms
aren't just limited to facial expressions.
Robots using
algorithms
to identify facial expressions can help children learn or provide lonely people with a sense of companionship.
Social media companies are considering using
algorithms
to help prevent suicides by flagging posts that contain specific words or phrases.
The matching idea has been successfully used to match, for instance, students with university places, to match kidney donors with patients, and it underlies the kind of
algorithms
that exist on dating websites.
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