Machine in sentence

1914 examples of Machine in a sentence

The liquid metal absorbs all the neutrons and no neutrons hit the wall, and therefore there's no damage to the machine.

So we built this machine in this garage here.

We made a small machine that we managed to squeeze a little bit of neutrons out of that, and those are my marketing neutrons, and with those marketing neutrons, then I raised about 50 million dollars, and I hired 65 people.

So it's going to be a big machine, about three meters in diameter, liquid lead spinning around, big vortex in the center, put the plasma on the top and on the bottom, piston hits on the side, bang!, it compresses it, and it will make some energy, and the neutron will come out in the liquid metal, going to go in a steam engine and make the turbine, and some of the steam will go back to fire the piston.

The second thing: machine learning.

So you keep hearing about machine learning and there was a revolution of machine learning recently, in deep learning, and that allowed us to build machine-learning models that can understand wireless signals and interpret them so they would know what happened in the environment.

So if you think of it, the radio is like the ear of our device and the machine learning is like the brain, and together, they have a very powerful device.

It's what the Victorian illusionists would have described as a mechanical marvel, an automaton, a thinking machine.

It was science fiction made true, robotic engineering in a pre-electronic age, machines far in advance of anything that Victorian technology could create, a machine we would later know as the robot.

Alan Turing, a pioneer of artificial intelligence, spoke about creating the illusion that a machine could think.

It was machine gun fire.

So we went back to MIT, we took out the Instron machine and we figured out what sort of forces you needed in order to compress a briquette to the level that you actually are getting improved performance out of it?

I spent a couple years finishing graduate school, and the whole entire time while I'm sitting there in buildings at Oxford that were literally built hundreds of years before the United States was even founded, and I'm sitting there talking to dons about the assassination of Archduke Ferdinand, and how that influenced the start of World War I, where the entire time my heart and my head were on my soldiers who were now throwing on Kevlars and grabbing their flak vests and figuring out how exactly do I change around or how exactly do I clean a machine gun in the darkness.

As a researcher, I'm also working on countermeasure technology, and I'm part of an ongoing effort at AI Foundation, which uses a combination of machine learning and human moderators to detect fake images and videos, fighting against my own work.

We put them in a materials testing machine to look at the stress strain analysis and showed that they can withstand forces 800 times their body weight, and after this they can fly and run absolutely normally.

They're also finding a way to let customers and clientele find out that they can repair a blender or fix an iron or, as we learned yesterday, to make a french fry machine.

On the flip side, you find that there are end users that are desperately looking for someone that can make them a french fry machine, and you have scrap dealers who are looking how they can collect this scrap, process it, and turn it back into an input for new making.

So as a result, the Chinese AI companies have leaped ahead so that today, the most valuable companies in computer vision, speech recognition, speech synthesis, machine translation and drones are all Chinese companies.

I remember the tall sentry tower with the machine guns pointed at us.

In Tuscaloosa, at the University of Alabama, there's an organization on campus called, kind of menacingly, the Machine, and it draws from largely white sororities and fraternities on campus, and for decades, the Machine has dominated student government elections.

Well now, recently, the Machine has started to get involved in actual city politics, and they've engineered the election of a former Machine member, a young, pro-business recent graduate to the Tuscaloosa city school board.

So we love it when we're bathed in what things we like to click on, and so the machine automatically feeds us the stuff that we like and we end up with this rose-colored spectacles view of the world called a filter bubble.

For example, coconut shells crushed in a machine mixed with rice straw, powder of rice husk mixed with organic manure is finally dumped in soil on which our forest is planted.

I came across this quote by Wilbur: "If you are looking for perfect safety, you will do well to sit on a fence and watch the birds; but if you really wish to learn, you must mount a machine and become acquainted with its tricks by actual trial."

Our slushy machine broke on the opening night and we didn't know what to do.

One of the most impressive areas where this concept is taking place is in the area of machine learning.

Machine learning is a branch of artificial intelligence, which itself is a branch of computer science.

And then Arthur Samuel goes back to the computer and he plays it, and he loses, and he plays it, and he loses, and he plays it, and he loses, and Arthur Samuel has created a machine that surpasses his ability in a task that he taught it.

And this idea of machine learning is going everywhere.

Machine learning is at the basis of many of the things that we do online: search engines, Amazon's personalization algorithm, computer translation, voice recognition systems.

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