Earlier, we have talked about interpolation techniques that can fill some of the missing frames in videos.

早些时候，我们谈到了可以填补视频中缺失帧的插值技术。

It can also cause difficulties when trying to interpolate between two orientations.

它也可能导致在尝试插值两方向时出现困难。

What's the difference between novelty and interpolation?

新颖性和插值有什么区别？

There's a difference between novelty and interpolation.

新颖性和插值之间是有区别的。

" These are a few of my favorite things! " That's interpolation.

“这些是我最喜欢的东西！ ” 这就是插值。

There are mathematical techniques to try to guess what happens between these individual gridpoints, and this process is referred to as interpolation.

这里用到了种数学技巧，可以尝试猜这些独立的网格点之间发生的事件，这过程被称为插值。

At each intersection, we have a corresponding value for a new interpolated subpixel.

在每交叉点，我们都有新的插值子像素的对应值。

Then, you know, I think the kind of lowest level of creativity is like an interpolation.

然后，你知道，我认为创造力的最低层次就是像插值样。

Well, that's not too hard to figure out, that's interpolate between those.

这也不难理解，那就是在这两者之间进行插值。

So first one would be interpolation.

首先，我们要讨论的是插值法。

That process allowed us to kind of control the way the hair would break apart and interpolate.

那过程让我们可以控制头发分离和插值的方式。

So for the moment, I think AI is capable of doing interpolation and extrapolation, but not true invention.

所以就目前而言， 我认为人工智能能够进行插值和外推，但不能真正创新。

The simplest way to do this would be to overlay the two key frames and just in between the shapes.

最简单的方法是将两关键帧叠加，并在形状之间进行插值。

Well, a common technique for subdividing whole pixels into subpixels is called interpolation, and the simple version goes like this.

好吧， 将整像素细分到子像素的种常见技术称为插值，其简单的版本大致如下。

So when you change the DPI settings of your mouse, what you are actually changing is the number of subdivisions in this interpolation algorithm.

所以当你更改鼠标DPI设置时，实际上你在改变的是这插值算法中的细分数量。

They memorize a hundred different possible mock exams, and then they hope that the actual exam will be a very simple interpolation of the mock exams.

他们记住了百种不同的可能的模拟考试，然后他们希望实际的考试将是模拟考试的非常简单的插值。

But it's important to know that these AI tools aren't  really sampling or interpolating or covering they're not taking pieces of the music in their  data sets and collaging them.

但重要的是要知道，这些人工智能工具并没有真正进行采样、插值或覆盖，它们并没有提取数据集中的音乐片段并将其拼贴在起。

And I think there's a question about like, do we do the linear interpolation of 4.1 is like, you know, zero point, it's like, I don't know, 2x the size or something?

我认为有问题是关于是否对4.1进行线性插值，比如从零点开始，它是两倍大小还是什么的？

As you know, it's like there's an ability to interpolate between different styles, different ideas, and AI can help you do that, but also the designer can then take that so much further.

如你所知， 这就像具备了种在不同风格、不同创意间进行插值的能力，AI能助你臂之力，而设计师则能在此基础上更进步。