The reason for this is that the classical grid-based simulators utilize a technique that mathematicians like to call operator splitting.

这是由于经典的基于网格的模拟器利用了一种数学家喜欢称之为分裂的技术。

Both of these edge enhancing kernels are called Prewitt Operators, named after their inventor.

这两种边缘增强的卷积核都称为Prewitt，以它们的发明者命名。

The results are shown in Table 1.The operators are designated as A, B and C.

结果如表1所示。 指为A、BC。

Both Operators A and B have averages beyond the ANOM limits.

A B 的平均值都超出了 ANOM 限制。

And here's what a Bayesian does to get a credible interval.

下面是一个贝叶斯如何得到一个可信的区间。

It is sometimes call the operator variation.

有时称为变体。

This is what the mean square for operators is estimating.

这就是的均方估计值。

This paper introduces a new way of efficiently solving these operators together in a way that these coupling effects are retained in the simulation.

这篇论文介绍了一种有效的新方法，能在保留模拟中的耦合效应的情况下一起解决这些。

So neural operators and AI broadly are enabling us to tackle hard scientific challenges such as climate change and nuclear fusion. To me, this is just the beginning.

因此，神经广义上的人工智能使我们能够应对诸如气候变化核聚变这样的科学难题。对我来说，这仅仅是个开始。

So in this case, the neural operators were specialized to understand fluid flow in a tube. What other applications can AI tackle and help us solve such pressing problems?

因此，在这种情况下，神经专门用于理解管道中的流体流动。人工智能还能解决哪些其他应用，并帮助我们解决这些紧迫的问题？