Machines in sentence

1115 examples of Machines in a sentence

Where the teme machines themselves will replicate themselves.

Previously, if you look at the trajectory of the industrial revolution, when machines replaced humans in one type of work, the solution usually came from low-skill work in new lines of business.

So you didn't need any more agricultural workers, so people moved to working in low-skill industrial jobs, and when this was taken away by more and more machines, people moved to low-skill service jobs.

You point out that it's different from intelligence, the intelligence that we're building in machines, and that there's actually a lot of mystery around it.

And maybe we can build machines that actually help amplify that, even if they're not going to become sentient themselves?

Still, most of the children who die in the United States every year die in hospital rooms, surrounded by beeping machines and anxious, exhausted adults who have no other option but to say goodbye under those harsh, institutional lights and among virtual strangers.

Instead, what if those plants grew their own packaging, or were designed to only be harvested by their owners' own patented machines?

Well, we have to look at how we give machines sight.

Eventually, we got to huge ring-like machines that take two beams of particles in opposite directions, squeeze them down to less than the width of a hair and smash them together.

And inside each one of these incredible machines, there are hundreds of billions of tiny particles, dancing and swirling in systems that are more complex than the formation of galaxies.

When people are hooked up to these machines, tasks, such as reading or doing math problems, each have corresponding areas of the brain where activity can be observed.

EEG machines monitoring people during these stages have shown electrical impulses moving between the brainstem, hippocampus, thalamus, and cortex, which serve as relay stations of memory formation.

Machines filled the bottles with sweet bubbily liquid and they were then wrapped, shipped, bought, opened, consumed and unceremoniously discarded.

As the wheel turned, the prisoner was forced to keep stepping up or risk falling off, similar to modern stepper machines.

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.

So it might sound counterintuitive, but by embracing the idea that these machines are actually valuable colleagues, we as people will perform better and be happier.

Then tunneling machines currently tunnel for half the time, then they stop, and then the rest of the time is putting in reinforcements for the tunnel wall.

Also these machines are far from being at their power or thermal limits, so you can jack up the power to the machine substantially.

It did happen, and the machines are all around us.

It's the universe in which these machines are now doing all these things, including changing biology.

And that's what all these machines are doing, except, instead of doing it with marbles, they're doing it with electrons.

And we take it for granted now, that each of these machines has billions of transistors, doing billions of cycles per second without failing.

So, Von Neumann was already off in a theoretical cloud, doing abstract sorts of studies of how you could build reliable machines out of unreliable components.

So, he decided to give it a try, to start this artificial biology going in the machines.

This was published after he died: his sort of unfinished notes on self-reproducing machines, what it takes to get the machines sort of jump-started to where they begin to reproduce.

And if we think about some of the technologies that are coming down the pike ... Noriko [Arai] mentioned that reading is not yet happening in machines, at least with understanding.

But that will happen, and when that happens, very soon afterwards, machines will have read everything that the human race has ever written.

And that will enable machines, along with the ability to look further ahead than humans can, as we've already seen in Go, if they also have access to more information, they'll be able to make better decisions in the real world than we can.

I'm trying to redefine AI to get away from this classical notion of machines that intelligently pursue objectives.

What we're trying to do, in fact, is to allow machines to predict for any person and for any possible life that they could live, and the lives of everybody else: Which would they prefer?

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