Systems in sentence

4888 examples of Systems in a sentence

And so if you do something with those systems, they're going to evolve one way or another.

And I've long ago maintained that we've evolved three distinctly different brain systems for mating and reproduction: sex drive, feelings of intense romantic love and feelings of deep cosmic attachment to a long-term partner.

I study the biology of personality, and I've come to believe that we've evolved four very broad styles of thinking and behaving, linked with the dopamine, serotonin, testosterone and estrogen systems.

Intelligence is a matter of information processing in physical systems.

I mean, there's just atoms in here, and as long as we continue to build systems of atoms that display more and more intelligent behavior, we will eventually, unless we are interrupted, we will eventually build general intelligence into our machines.

We want to understand economic systems.

They'll be grafted onto our brains, and we'll essentially become their limbic systems.

But the moment we admit that information processing is the source of intelligence, that some appropriate computational system is what the basis of intelligence is, and we admit that we will improve these systems continuously, and we admit that the horizon of cognition very likely far exceeds what we currently know, then we have to admit that we are in the process of building some sort of god.

The second thing I learned is that when people like me, who understood that fear, who had learned a new language, who had navigated new systems, when people like us were sitting at the table, we advocated for our communities' needs in a way that no one else could or would.

We started to place our trust into black box systems of authority, things like legal contracts and regulation and insurance, and less trust directly in other people.

It's the trust shift it creates, and for my part, I want to help people understand this new era of trust so that we can get it right and we can embrace the opportunities to redesign systems that are more transparent, inclusive and accountable.

These systems are about the thickness of a human hair.

We can also engineer these systems, so they can integrate energy sources, and can have wireless transmission capabilities.

So as we began to build these types of systems, we began to test them on ourselves in our research group.

This picture demonstrates waveforms pertaining to the fetal heart rate, where the red corresponds to what was acquired with the conventional belts, and the blue corresponds to our estimates using our flexible electronic systems and our algorithms.

The problem was, the way we manufactured these systems was very inefficient, had low yield and was very error-prone.

Nowadays, there are computational systems that can suss out emotional states and even lying from processing human faces.

And also, crucially, these systems don't operate under a single-answer logic.

The head of Google's AI systems called it, "the unreasonable effectiveness of data."

I once attended a conference that brought together human resources managers and executives, high-level people, using such systems in hiring.

But with these systems, it is more complicated, and here's why: Currently, computational systems can infer all sorts of things about you from your digital crumbs, even if you have not disclosed those things.

I have a friend who developed such computational systems to predict the likelihood of clinical or postpartum depression from social media data.

Another problem is this: these systems are often trained on data generated by our actions, human imprints.

Well, they could just be reflecting our biases, and these systems could be picking up on our biases and amplifying them and showing them back to us, while we're telling ourselves, "We're just doing objective, neutral computation."

Now, finally, these systems can also be wrong in ways that don't resemble human systems.

But if you look at our cities, yes, we have some underground subway systems and some tunnels and bridges, and also some helicopters in the sky.

We've been stuck in an endless debate between creating a car-centric society or extensive mass-transit systems.

The main point of all this for me is, we can find mutually beneficial systems for these species.

There are really two smartphone operating systems in the global smartphone market: iOS and Android.

It's all thanks to the use of data and modeling complex systems.

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