Machine in sentence

1914 examples of Machine in a sentence

Perhaps advances in machine learning will make huge strides, and one day we will be able to decode what's going on in our thoughts.

If the goal here was to get the DNA out and use the DNA down the track to try to bring a thylacine back, what we didn't want happening when the information was shoved into the machine and the wheel turned around and the lights flashed, was to have a wizened old horrible curator pop out the other end of the machine.

And the other ones here, I can use them in unison to mimic the effect of a drum machine or something like that.

Maybe we'll be able to build a conscious machine.

Since we don't know how our brains do it, we're not in a position, so far, to build a conscious machine.

The disappointment of robotics derives from the fact that we don't know how to make a conscious robot, so we don't have a machine that can do this kind of thing.

So I've been working with these guys, and we've made a machine.

We've made a system which is basically a live production machine, a real-time music production machine, and it enables me to, using nothing but my voice, create music in real time as I hear it in my head unimpeded by any physical restrictions that my body might place on me.

It is possible, and you can do it very simply using this machine.

But in actual fact, I haven't made this machine so that I can emulate things that already exist.

Here's a machine doing something cool.

How lucky are we to live in this age when mind and machine can work together?

And within just 50 years, in his lifetime, with him sitting in the audience, we had designed the greatest machine ever to prove this incredible idea that originated just in a human mind.

In 1974, the great Ray Kurzweil, the American inventor, worked on building a machine that would scan books and read them out in synthetic speech.

Optical character recognition units then only operated usually on one font, but by using charge-coupled device flatbed scanners and speech synthesizers, he developed a machine that could read any font.

And his machine, which was as big as a washing machine, was launched on the 13th of January, 1976.

Here, you see the artificial tentacle, but they actually built an entire machine with several tentacles they could just throw in the water, and you see that it can kind of go around and do submarine exploration in a different way than rigid robots would do.

EB: So I want to just point out here that every node is a talk, they're linked if they share similar ideas, and that comes from a machine reading of entire talk transcripts, and then all these topics that pop out, they're not from tags and keywords.

If that Martian looked at battlefields, they would find that people had only muskets at the time of the Civil War and that they had repeating rifles at the time of the Spanish-American War, and then they had machine guns by the time of World War I. And, in other words, it was the equipment that was in the hands of the average soldier that was responsible, not greater keenness of eye or steadiness of hand.

The problem is, we don't know the machine language of proteins or have a compiler for proteins.

So you send an e-mail with these sequences in it to a company, and the company pronounces them on a DNA synthesizer, a machine about the size of a photocopier.

There are real people trapped within these systems, and that's the other deeply strange thing about this algorithmically driven culture, because even if you're human, you have to end up behaving like a machine just to survive.

When YouTube first started to pay attention to this, the first thing they said they'd do about it was that they'd deploy better machine learning algorithms to moderate the content.

Well, machine learning, as any expert in it will tell you, is basically what we've started to call software that we don't really understand how it works.

So a cell biologist like me can come in, take a chip, put it in a cartridge like the prototype you see there, put the cartridge into the machine just like you would a C.D., and away you go.

We are beginning to deploy throughout the industrial system embedded virtualization, multi-core processor technology, advanced cloud-based communications, a new software-defined machine infrastructure which allows machine functionality to become virtualized in software, decoupling machine software from hardware, and allowing us to remotely and automatically monitor, manage and upgrade industrial assets.

I would come home and I would see the red light flashing on my answering machine, and instead of being thrilled to hear from my friends, I would think, "What a lot of people that is to have to call back."

But I don't feel sad about having to eat lunch, and I don't feel sad about my answering machine, and I don't feel sad about taking a shower.

So if we want to construct a time machine, we need two things.

The Venice Time Machine, the project I'm going to talk to you about, is a joint project between the EPFL and the University of Venice Ca'Foscari.

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