Object in sentence

1464 examples of Object in a sentence

So in 1781, an English composer, technologist and astronomer called William Herschel noticed an object on the sky that didn't quite move the way the rest of the stars did.

Every foot of distance you look away, or every foot of distance an object is away, you're looking back about a billionth of a second in time, and this idea or this notion of looking back in time has revolutionized our ideas about the universe, not once but multiple times.

So MRI enables you to see internal anatomy at high resolution, so I'm going to show you in a second a set of MRI cross-sectional images through a familiar object, and we're going to fly through them and you're going to try to figure out what the object is.

How could it be that when I look at a person, an object, or an event, I see something very different than somebody else does?

But it turns out we can do that not just to show tiny changes in color, but also tiny motions, and that's because the light that gets recorded in our cameras will change not only if the color of the object changes, but also if the object moves.

MR: And now, 137 years later, we're able to get sound in pretty much similar quality but by just watching objects vibrate to sound with cameras, and we can even do that when the camera is 15 feet away from the object, behind soundproof glass.

And to get a reward, a drop of orange juice that monkeys love, this animal has to detect, select one of these objects by touching, not by seeing it, by touching it, because every time this virtual hand touches one of the objects, an electrical pulse goes back to the brain of the animal describing the fine texture of the surface of this object, so the animal can judge what is the correct object that he has to grab, and if he does that, he gets a reward without moving a muscle.

It looks like a strange object, but it isn't so strange, it also exists in nature.

We call a natural object beautiful because we see that its form expresses fitness, the perfect fulfillment of function."

You see this object here.

Think about inkjet printing where you lay down ink on a page to make letters, and then do that over and over again to build up a three-dimensional object.

Now, we were inspired by the "Terminator 2" scene for T-1000, and we thought, why couldn't a 3D printer operate in this fashion, where you have an object arise out of a puddle in essentially real time with essentially no waste to make a great object?

In addition, it has a stage that will lower into the puddle and pull the object out of the liquid.

This dead zone is on the order of tens of microns thick, so that's two or three diameters of a red blood cell, right at the window interface that remains a liquid, and we pull this object up, and as we talked about in a Science paper, as we change the oxygen content, we can change the dead zone thickness.

In addition, we're able to throw the entire polymer chemistry textbook at this, and we're able to design chemistries that can give rise to the properties you really want in a 3D-printed object.

In its simplest terms, imagine this teaching process as showing the computers some training images of a particular object, let's say cats, and designing a model that learns from these training images.

After all, a cat is just a collection of shapes and colors, and this is what we did in the early days of object modeling.

Now you have to add another shape and viewpoint to the object model.

Even something as simple as a household pet can present an infinite number of variations to the object model, and that's just one object.

In a typical neural network we use to train our object recognition model, it has 24 million nodes, 140 million parameters, and 15 billion connections.

It became the winning architecture to generate exciting new results in object recognition.

It's a man-made object, a leg of the lander, standing on a comet.

There's the object and how far away it is; there's the camera and the lens that you use; how much light is shining on the object and how loud your sound is.

Little lamb! (Applause) AD: And this was really significant, because it was the first time we recovered intelligible human speech from silent video of an object.

And so it gave us this point of reference, and gradually we could start to modify the experiment, using different objects or moving the object further away, using less light or quieter sounds.

You see, most cameras record images one row at a time, and so if an object moves during the recording of a single image, there's a slight time delay between each row, and this causes slight artifacts that get coded into each frame of a video.

But what's really new here, what's really different, is that now we have a way to picture the vibrations of an object, which gives us a new lens through which to look at the world, and we can use that lens to learn not just about forces like sound that cause an object to vibrate, but also about the object itself.

So here's an object, and in this case, it's a wire figure in the shape of a human, and we're going to film that object with just a regular camera.

But we do want to see the object vibrate, so to make that happen, we're just going to bang a little bit on the surface where it's resting while we record this video.

So that's it: just five seconds of regular video, while we bang on this surface, and we're going to use the vibrations in that video to learn about the structural and material properties of our object, and we're going to use that information to create something new and interactive.

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