Algorithms
in sentence
404 examples of Algorithms in a sentence
So it means that you can actually embed pretty clever
algorithms
and lots of other kinds of extendable ideas into really simple devices.
They've dug a basement, and they've built a spy center to try and run
algorithms
and figure out which ones of us are troublesome, and if any of us complain about that, we're arrested for terrorism.
Well, what I can do now with my colleagues in computer science is we can create computer
algorithms
that can analyze the linguistic traces of deception.
Not only are you leaving a record for yourself on your machine, but you're leaving a record on the person that you were lying to, and you're also leaving them around for me to analyze with some computer
algorithms.
Another technological danger that threatens the future of democracy is the merger of information technology with biotechnology, which might result in the creation of
algorithms
that know me better than I know myself.
And once you have such algorithms, an external system, like the government, cannot just predict my decisions, it can also manipulate my feelings, my emotions.
We have
algorithms
that are smarter than ever before, and computers that are quicker than ever before.
You've often taken really surprising stances towards building smart
algorithms
at Netflix.
So what we've done is invest a lot on the algorithms, so that we feature the right content to the right people and try to make it fun and easy to explore.
But isn't it the case that
algorithms
tend to point you away from the broccoli and towards the candy, if you're not careful?
RH: In practice, you're right that you can't just rely on
algorithms.
CA: But you have people in the organization who are looking regularly at the actual impacts of these brilliant
algorithms
that you've created.
Our observers don't care if we are nobody, if we are unimportant, because they're algorithms, not people.
And with computation and
algorithms
and predictive models, we will be able to see the future.
Our children and teachers are encouraged to follow routine
algorithms
rather than to excite that power of imagination and curiosity.
This data is then sent to another laptop that is running estimation and control algorithms, which in turn sends commands to the quad, which is also running estimation and control
algorithms.
So how does one design the
algorithms
that create a machine athlete?
We then use a branch of mathematics called control theory to analyze these models and also to synthesize
algorithms
for controlling them.
We then manipulate these equations with the help of control theory to create
algorithms
that stabilize the quad.
How did we design the
algorithms
to do this?
Once we have a model of the combined quad-pole system, we can use control theory to create
algorithms
for controlling it.
We relinquish control of yaw, but roll, pitch and acceleration can still be controlled with
algorithms
that exploit this new configuration.
In this instance, this knowledge allows us to design novel machine architectures or to design clever
algorithms
that gracefully handle damage, just like human athletes do, instead of building machines with redundancy.
The
algorithms
to do this are very similar to what the single quad used to hit the ball back to me.
Similarly, we use the analogy of sports and athleticism to create new
algorithms
for machines to push them to their limits.
Now, our eyes are not very good at picking up patterns in noisy data, but machine learning
algorithms
are designed to do just that, so could we take a lot of pictures and a lot of data and feed it in and train a computer to be able to interpret what Christy is looking at in real time?
And we're learning from neural nets, genetic algorithms, evolutionary computing.
We can take natural language processing
algorithms
to kind of read through with a computer, line by line, extracting key concepts from this.
We've got ourselves in a world that's massively complex, and we've been using
algorithms
to kind of filter it down so we can navigate through it.
And those algorithms, whilst being kind of useful, are also very, very narrow, and we can do better than that, because we can realize that their complexity is not random.
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