Algorithms
in sentence
404 examples of Algorithms in a sentence
And, for example, Wolfram Alpha and Mathematica are actually now full of
algorithms
that we discovered by searching the computational universe.
Well, it sounds like a pretty good idea, but this task, as Bruno mentioned, isn't an easy one for two main reasons: First, the detection
algorithms.
Now on to the detection
algorithms.
This stage is synthesized through
algorithms
from some of the top livestock institutions in the world before it lands back in the farmers' hands in actionable SMSs.
And then we'll put on a satellite tag that will give us the long-distance journeys with the light-based geolocation
algorithms
solved on the computer that's on the fish.
Add to that complex
algorithms
that set prices in a way that maximizes profits, and the company’s dominance seems relatively secure.
But our emotions are the algorithms, bequeathed by evolution, by which we make most decisions, including political ones; economic cost-benefit analysis that does not connect to our emotional compass does not move the needle.
If given the opportunity, women could be leading innovators in the age of automation and artificial intelligence, and could help to ensure that
algorithms
are free of gender bias.
Even worse, social-media
algorithms
tend to amplify the most extreme material at the expense of more credible sources.
Consider machine-learning algorithms, the most important general-purpose technology in use today.
Using real-world examples to mimic human cognitive capacities, these
algorithms
are already becoming ubiquitous in the workplace.
But, to capitalize fully on these technologies, organizations must redefine human tasks as prediction tasks, which are more suited to these algorithms’ strengths.
A key feature of machine-learning
algorithms
is that their performance improves with more data.
As a result, the use of these
algorithms
creates a technological momentum to treat information about people as recordable, accessible data.
In particular, machine-learning
algorithms
run directly counter to individuals’ desire for personal privacy.
But, unlike communitarians,
algorithms
are indifferent to social norms.
But, unlike modern machine-learning algorithms, older assessment tools were reasonably well understood.
In the workplace,
algorithms
can track employees’ conversations, where they eat lunch, and how much time they spend on the computer, telephone, or in meetings.
It is within our power to cast privacy nets around sensitive areas of human life, to protect people from the harmful uses of data, and to require that
algorithms
balance predictive accuracy against other values such as fairness, accountability, and transparency.
The financial singularity implies that all investment decisions would be better left to a computer program, because the experts with their
algorithms
have figured out what drives market outcomes and reduced it to a seamless system.
Twenty years of the most advanced thinking for mathematical
algorithms
came from a Soviet empire starved of computing power.
Modern data science, for example, is becoming so advanced that
algorithms
driven by existing consumer data could soon take over the task of making efficient buying decisions.
Unlike older industrial robots, newer technologies can interact safely and efficiently with humans, who sometimes need to train them and will increasingly have to work seamlessly with
algorithms
and machines.
For example, a doctor’s practice will be greatly enhanced by diagnostic
algorithms.
The
algorithms
in question, developed at the University of California, Berkeley, were known as “portfolio insurance.”
Furthermore, grave errors can occur when large data sets are mined using machine
algorithms
without having first having properly examined the decision that needs to be made.
But today two-thirds of American adults get some of their news from social media, which rest on a business model that lends itself to outside manipulation and where
algorithms
can easily be gamed for profit or malign purposes.
And when paired with other data about us (financial, professional, and social), our biometrics can be fed into
algorithms
and used to deny us loans, health insurance, and jobs, guess our sexuality or political preferences, and predict our likelihood to commit crimes — entirely without our knowledge.Having a unique, unforgeable identity could be a blessing.
And when paired with other data about us (financial, professional, and social), our biometrics can be fed into
algorithms
and used to deny us loans, health insurance, and jobs, guess our sexuality or political preferences, and predict our likelihood to commit crimes — entirely without our knowledge.
With that reservoir of historical information and sophisticated algorithms, the company offers fee-based advice to farmers through an intuitive online portal.
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