Systems
in sentence
4888 examples of Systems in a sentence
In 90 days they produced the first prototype: powered off Tesla batteries, stereoscopic cameras, lidar
systems.
Whale songs are one of the most sophisticated communication
systems
in the animal kingdom.
So researchers who study autonomous
systems
are collaborating with philosophers to address the complex problem of programming ethics into machines, which goes to show that even hypothetical dilemmas can wind up on a collision course with the real world.
The results are then integrated within and across
systems
to avoid double-counting and add it up to see if we actually get to drawdown.
Where was I? We relied on
systems
created through the toil and sacrifice of generations before to protect us, and we felt that governments actually worked for our betterment.
Work began to define you at that time in an overwhelmingly equalizing manner, and all the
systems
started to feel less reliable to me, almost too thick to hold on to the diversity of mankind and the human need to progress and grow.
This was said by Norbert Wiener in 1960, shortly after he watched one of the very early learning
systems
learn to play checkers better than its creator.
Although capitalism is a wonderful system, like many operating systems, it's prone to bugs, which, in this case, are called "market failures."
For Black women whose bodies are buckling under the weight of
systems
never designed to support them, GirlTrek is a lifeline.
We studied these
systems
of change, and we looked at walking scientifically.
Genetic Alliance has experimented in what it will take to transform these crusty
systems.
If we breathe into that fear and are vulnerable with the
systems
and people who challenge us, our power as changemakers grows exponentially.
It's an example of how dynamic these
systems
can be.
For example, we’ve observed binary
systems
where a neutron star co-orbits another star.
While many stars exist as binary systems, only a small percentage of those end up as neutron-star binaries, where two neutron stars circle each other in a waltz doomed to end as a merger.
So why is having more data not helping us make better decisions, especially for companies who have all these resources to invest in these big data
systems?
Big data's reputation for success comes from quantifying very specific environments, like electricity power grids or delivery logistics or genetic code, when we're quantifying in
systems
that are more or less contained.
But not all
systems
are as neatly contained.
When you're quantifying and
systems
are more dynamic, especially
systems
that involve human beings, forces are complex and unpredictable, and these are things that we don't know how to model so well.
So the oracle didn't stand alone, and neither should our big data
systems.
Now to be clear, I'm not saying that big data
systems
are huffing ethylene gas, or that they're even giving invalid predictions.
But what I am saying is that in the same way that the oracle needed her temple guides, our big data
systems
need them, too.
This is what we really need if we're going to build
systems
on top of computer vision.
Well, in the past, object detection
systems
would take an image like this and split it into a bunch of regions and then run a classifier on each of these regions, and high scores for that classifier would be considered detections in the image.
If you believe that people are motivated like that, then all the stuff about incentives, all the stuff about code of conduct and bonus
systems
and so on, doesn't make a whole lot of sense.
What
systems
have we built where this is insufficient for a person to make a living?
It's not there yet, but in a couple years, there will be so many
systems
and tools for them to just make a living online, and if they've got a podcast that's starting to take off, but they're not able to make money on it yet, that's happening and they're going to be paid.
But for my friend Daniel, the impact of the AI in these
systems
is a life changer.
I think that one thing that shapes perceptions in the public, about science, is belief
systems
and biases.
Belief
systems
and biases.
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