What is the translation of " 到机器 " in English?

• to machine
• to machines

Examples of using 到机器 in Chinese and their translations into English

下面的动图展示了我们如何将Transformer应用到机器翻译中。
The animation below illustrates how we apply the Transformer to machine translation.

编译到机器代码.
Translated into machine code.

不过攻击者需要直接接触到机器才能进行攻击。
The attacker must have local access to the machine to perform the attack.

人们将性格投射到机器上.
It adds character to the machine.

你只需将它添加到机器中即可。
Just need to add them to the Machine now.

有超过30个磁盘驱动器连接到机器。
There were over thirty disk drives attached to the machine.

它不是那种能够被手动编程到机器里面的东西。
It's not something that can be uploaded into a machine.

我们只需要找到数据，并输入到机器学习系统即可。
We will just be finding data and feeding it into machine learning systems.

它不是那种能够被手动编程到机器里面的东西。
That's not something you can program into a machine.

我们要如何把它应用到机器里?
But how could I get it into the machine?

机器到机器（M2M）开辟了技术和商业的巨大商机。
Machine to machine(M2M) has opened up immense opportunities in technology and business.

本书重点关注三个转变：从人到机器、从产品到平台、从核心到群体。
The book focuses on three shifts: from humans to machines, from products to platforms, and from the core to the crowd.

物联网会生成大量的数据：从连接到机器部件或环境传感器的传感器，或我们在智能扬声器上喊出的单词。
The IoT generates vast amounts of data: from sensors attached to machine parts or environmental sensors, or the words we shout at our smart speakers.

这本书关注三个转变：从人类到机器，从产品到平台，从核心到大众。
The book focuses on three shifts: from humans to machines, from products to platforms, and from the core to the crowd.

出现了包括OTT在内的新服务和机器到机器（M2M）、LTE广播和VoLTE等电信服务.
New services, including both over-the-top(OTT) and telecom services, such as machine to machine(M2M), LTE Broadcast and VoLTE.

这一证据再次证明了社会中现存的不平等和偏见，而这些偏见可能被转移到机器上。
This evidence reinforces existing social inequalities and prejudices that can be transferred to machines.

从Web应用程序到机器学习，这种结构良好的语言可以通过以下方式支持您的启动。
From web applications to machine learning, this well-structured language can support your startup in the following ways.

这些不仅可以相互通信（从机器到机器），但将来可以互相支付服务费用。
These not only communicate with each other(from machine to machine, so to speak), but can in the future pay each other for services.

OneM2M是机器到机器通信和物联网的全球标准计划。
OneM2M is the global standards initiative for Machine to Machine Communications and the Internet of Things.

对于一些人来说，机器到机器（M2M）自主通信的概念仍然是科幻电影的东西。
For some, the concept of Machine to Machine(M2M) autonomous communications is still the stuff of Sci-Fi movies.

物联网产生了大量的数据：从连接到机器部件或环境传感器的传感器，或者我们对智能音箱发出的声音。
The IoT generates vast amounts of data: from sensors attached to machine parts or environment sensors, or the words we shout at our smart speakers.

数据需要从机器传输到人，或者从机器传输到机器，这种联通需要某种形式的互联网连接。
The data needs to travel from machine to human or machine to machine, and this communication requires some sort of Internet connectivity.

课程旨在向学生传授计算和IT开发的各个方面，从游戏应用到机器学习。
The courses are designed to teach students all aspects of computing and IT development ranging from Gaming apps to machine learning.

为了更好地理解本文中的内容，请阅读上一篇文章中的机器到机器（M2M）的基础知识。
To better understand the content in this article, read up on the basics of Machine to Machine(M2M) in the previous post.

其基本构思在于将重复性和低技术含量的活动从人力范围转移到机器、软件、自动化及协作机器人身上。
The basic concept is that repetitive tasks with a low level of knowledge content are transferred from humans to machine, software, automation and collaborative robotics.

Arm通常需要8年的时间来完成一项新设计，即从构思到机器代码，到交付完成。
Arm typically takes eight years for a new design to go from idea to machine code that can be shipped to licencees.

选择响应的启发式方法可以采用许多不同的方式进行设计，从基于规则的if-else条件逻辑到机器学习分类器等。
Heuristics for selecting a response can be engineered in many different ways, from rule-based if-else conditional logic to machine learning classifiers.

在谷歌团队，我们成功地将深度学习模型应用于非常多的领域，从图像识别、语音识别到机器翻译等等。
At Google, we have successfully applied deep learning models to many applications, from image recognition to speech recognition to machine translation.

这导致了分析实践方式的转变，即从传统的统计分析到机器学习和人工智能。
This has led to a paradigm shift in the way analytics is practiced: from traditional statistics to machine learning and artificial intelligence.

这一策略的挑战在于将人体运动正确地映射到机器上，同时告知操作者机器人复制的运动有多接近。
The challenge of this strategy lies in properly mapping human body motion to the machine while simultaneously informing the operator how closely the robot.