Algorithms
in sentence
404 examples of Algorithms in a sentence
So online dating is the second most popular way that people now meet each other, but as it turns out,
algorithms
have been around for thousands of years in almost every culture.
And as it happens, the
algorithms
that were setting us up, they weren't bad either.
These
algorithms
were doing exactly what they were designed to do, which was to take our user-generated information, in my case, my résumé, and match it up with other people's information.
See, the real problem here is that, while the
algorithms
work just fine, you and I don't, when confronted with blank windows where we're supposed to input our information online.
It feels as if technologists have diverted us and enriched themselves with trivial toys, with things like iPhones and apps and social media, or
algorithms
that speed automated trading.
It's the
algorithms.
And we did not know that U.S. intelligence agencies go to extremes such as infiltrating standardization bodies to sabotage encryption
algorithms
on purpose.
Backdooring encryption
algorithms
just boggles the mind.
One way is to sabotage encryption algorithms, which is a great example about how U.S. intelligence agencies are running loose.
Since then we have taken pictures of dozens of these nests from around various parts of Southeast Asia, and we're now working with computer scientists to develop
algorithms
that can automatically count the number of nests from the thousands of photos we've collected so far.
I have a suspicion that if we did this, we'd find that
algorithms
like searching, like retrieval, all of these things, are much simpler and also more effective, because they don't process the data structure of speech.
This included software
algorithms
to predict what DNA to build, chemistry to link the G, A, T and C building blocks of DNA into short pieces, Gibson Assembly to stitch together those short pieces into much longer ones, and biology to convert the DNA into other biological entities, such as proteins.
In some cases, there would actually be algorithms, and very sophisticated
algorithms.
These are robust
algorithms.
So if we want to find a better way of doing that kind of work, we need look only no farther than Africa to find these robust self-organizing
algorithms.
It's interesting that the ants are using an algorithm that's so similar to the one that we recently invented, but this is only one of a handful of ant
algorithms
that we know about, and ants have had 130 million years to evolve a lot of good ones, and I think it's very likely that some of the other 12,000 species are going to have interesting
algorithms
for data networks that we haven't even thought of yet.
Different ant species must use different algorithms, because they've evolved to deal with different resources, and it could be really useful to know about this, and so we recently asked ants to solve the collective search problem in the extreme environment of microgravity in the International Space Station.
And that way, we could make a global map of ant collective search
algorithms.
Computer
algorithms
today are performing incredible tasks with high accuracies, at a massive scale, using human-like intelligence.
Our first goal was to reduce the number of images required to train artificial intelligence
algorithms.
To summarize our approach, instead of using 10,000 very expensive medical images, we can now train the AI
algorithms
in an unorthodox way, using only 50 of these high-resolution, but standard photographs, acquired from DSLR cameras and mobile phones, and provide diagnosis.
More importantly, our
algorithms
can accept, in the future and even right now, some very simple, white light photographs from the patient, instead of expensive medical imaging technologies.
We devise agronomic
algorithms
which tell us how much rainfall a crop needs and when.
And this is changing the way that we do science, changing the way that we do astronomy, to a place where software and
algorithms
have to mine through this data, where the software is as critical to the science as the telescopes and the cameras that we've built.
There's all these hidden
algorithms
that decide what you see more of and what we all see more of based on what you click on, and that in turn shapes our whole culture.
We may have
algorithms
that are likely to predict what we are about to do, and we may be held accountable before we've actually acted.
Big data and
algorithms
are going to challenge white collar, professional knowledge work in the 21st century in the same way that factory automation and the assembly line challenged blue collar labor in the 20th century.
These are
algorithms
that have learned how to do this from data rather than being programmed by hand.
Now, what was extraordinary here is not just that they beat all of the
algorithms
developed by Merck or the international academic community, but nobody on the team had any background in chemistry or biology or life sciences, and they did it in two weeks.
Complex, nuanced sentences like this one are now understandable with deep learning
algorithms.
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