What is the translation of " MACHINE-LEARNING SYSTEMS " in Chinese?

• 机器学习系统

Examples of using Machine-learning systems in English and their translations into Chinese

The machine-learning systems like Watson are trained.
Watson这样的机器学习系统是如何训练的.

That represents a challenge for current machine-learning systems.
这对当前机器学习系统来说是一项挑战。

Current machine-learning systems cannot generate their own optical illusions- at least not yet.
目前的机器学习系统自己无法产生视错觉--至少现在不能。

Recent progress in computer vision and other machine-learning systems is one reason.
计算机视觉和其他机器学习系统的最新进展是一个原因。

Most existing machine-learning systems don't try to understand the relationship between concepts.
大多数现有的机器学习系统并不会试图去了解不同概念之间的关系。

Recent progress in computer vision and other machine-learning systems is one reason.
计算机视觉和其他机器学习系统近期取得的进展是一个原因。

Neural networks and other machine-learning systems have become the most disruptive technology of the 21st century.
神经网络和其他机器学习系统已经成为21世纪最具颠覆性的技术。

Last month, the Georgetown Law Center on Privacy& Technology found video and machine-learning systems were being used at airports.
上个月，乔治敦隐私和技术法律中心发现机场正在使用视频和机器学习系统。

Most machine-learning systems are unable to explain in human terms why they made a decision or what they intend to do next.
大多数机器学习系统本身并不能解释人类语言，它们不知道为什么人们做出某些决定或是人们接下来打算做什么。

Typically, computer scientists will try to feed their machine-learning systems as much training data as possible.
通常，计算机科学家将尽可能多地为他们的机器学习系统提供培训数据。

IoT Data(2018): IoT devices can generate large amounts of data organizations can use to train machine-learning systems.
物联网数据(2018)：物联网设备可以生成大量数据，机构可以将其用于训练机器学习系统。

Capsule networks aim to remedy a weakness of today's machine-learning systems that limits their effectiveness.
Capsule网络旨在弥补当今机器学习系统的缺陷，这些缺陷限制了它们的有效性。

Physicians who use machine-learning systems can become more educated about their construction, the data sets they are built on, and their limitations.
可以让使用机器学习系统的医生更多地了解这些系统的结构、建立系统所依据的数据集以及它们的局限性。

That's the Moral Machine's approach, one that matches the way machine-learning systems work best: with a large data set.
这就是麻省理工学院道德机器的方法，它与机器学习系统工作的最佳方式相匹配：使用大数据集。

Machine-learning systems could be built to reflect the ethical standards that have guided other actors in healthcare- and could be held to those standards.
在机器学习系统的建立过程中，可以反映在医疗中指导其他行为者的伦理标准，并可以遵守这些标准。

Moreover, most programmers are not able to successfully modify machine-learning systems without substantial specialized training.
另外，如果未经过大量的专门训练，大多数程序员都没法成功地修改机器学习系统。

Most machine-learning systems work by combing through training examples and looking for patterns that correspond to classifications provided by human annotators.
大多数机器学习系统通过梳理训练样例并寻找与人类注释器提供的分类相对应的模式来工作。

One of the key areas of research for 2017 is data efficiency: the problem of trying to teach machine-learning systems how to do more, with less.
数据有效性是2017年的一大重要研究领域：如何教会机器学习系统如何利用更少的数据完成更多的任务。

But in machine-learning systems, the algorithm itself(the step-by-step procedure for solving a particular problem) constitutes only one part of the system..
但在机器学习系统中，算法本身（逐步解决一个特定问题的过程）只是系统的一部分。

The fourth industrial revolution means that everything everyone does is computerized, with machine-learning systems used widely in various fields of activity.
第四次工业革命意味着每个人所做的一切都是计算机化的，机器学习系统在各个领域都广泛使用。

He said that by using machine-learning systems and the internet, new education technology would bypass the gatekeepers and go directly to students in their homes.
他说，恒达娱乐通过使用机器学习系统和互联网，新的教育技术将绕过把关人，直接进入学生的家中。

When we look at images of apples and oranges, we need to define features manually, so that machine-learning systems can identify the difference.
当我们看到苹果和橘子的图像时，我们需要手动定义它们的特征，以便机器学习系统就能识别出这两种水果的不同特征。

Today machine-learning systems underpin online services, allowing computers to recognize language, understand speech, spot faces, and describe photos and videos.
今天，机器学习系统是在线服务的基础，允许计算机识别语言、理解语音、识别人脸以及描述照片和视频。

In an effort"to democratize AI," researchers at MIT have found a way to use artificial intelligence to train machine-learning systems much more efficiently.
为了“让人工智能民主化”，麻省理工学院的研究人员找到了一种利用人工智能更有效地训练机器学习系统的方法。

Many machine-learning systems are now essentially black boxes; their creators know they work, but can't explain exactly why they make particular decisions.
从本质上来说，很多机器学习系统目前还是“黑盒子”，他们的创建者知道它们在运行，但无法清楚解释它们为什么会做出某些特定的决策。

Researchers from MIT and elsewhere have developed an interactive tool that, for the first time, lets users see and control how automated machine-learning systems work.
麻省理工学院等研究团队开发了一种交互式工具，首次让用户看到并控制自动机器学习系统的工作方式。

Researchers at Google have proposed so-called“model cards” to detail how machine-learning systems have been tested, including results that point out potential bias.
谷歌的研究人员提出了所谓的“modelcards”，来详细说明机器学习系统是如何被测试的，包括指出具有潜在偏差的结果。

Inside our AMR is a dedicated research team called the Detection Methods Analysis Group, which was created in 2007 specifically to work on our machine-learning systems.
我们的AMR是一个专门的研究团队，被称为”检测方法分析组”，于2007年成立，专门研究我们的机器学习系统。

The researchers are also experimenting with computer interfaces that make the workings of machine-learning systems more explicit with data, visualizations, and even natural language explanations.
研究人员还在测试利用计算机接口使机器学习系统的运作更加明确，包括数据、可视化，甚至自然语言解释。

And the technology is already ubiquitous: virtually every interaction we have with Google, Amazon, Facebook, Netflix, Spotify et al is mediated by machine-learning systems.
而且该技术已经无处不在：实际上，我们与Google，Amazon，Facebook，Netflix，Spotify等之间的每一次互动都是由机器学习系统进行的。