『壹』 全部家当求一篇人工智能的英文论文及翻译。
只是论文么？直接回答给你可以么？
Knowing How to Live Alone
Introction
"Hook"
Connecting Information
Thesis statement
"Alone one is never lonely," says the poet and author Mary Sarton in praise of living along. Most people, however, are terrified of living alone. They are used to living with others -- children with parents, roommates with roommates, friends with friends, husbands with wives. When the statistics catch up with them, therefore, they are rarely prepared. Chances are high that most alt men and women will need to know how to live along, briefly or longer, at some time in their lives.
First Body Paragraph
Topic sentence
Background: Statistics
And how they relate to the thesis.
(The background paragraph is not always included in an academic essay.)
In the United States, circumstances often force people to live alone. For example, many high school and college graates move away from their hometowns and continue their ecations or take jobs. Most schools assign roommates, but employers usually expect people to take care of their own living arrangements. Also, married people might feel they will always be together, but currently one out of two marriages ends in divorce. An even sadder statistic concerns the death of a spouse. Estimates are that in the next twenty years eight out of ten married women will become widows, usually late in life. These facts show that most people have to live by themselves at least once in their lives whether they want to or not.
Second Body Paragraph
Topic sentence
support
One good way to prepare for living alone is to learn how to take care of practical matters. For example, some students and newly single people might not know how to do something as simple as opening a checking account. When making arrangements alone, they might be too tense to find out that they can compare banks as well as the benefits of various types of accounts. Similarly, making major purchases is something people living alone might have to handle. When divorced or widowed people were married, perhaps the other sopuse did the choosing or the couple make the decisions together. But how long can a person manage with a refrigerator that cannot be repaired or a car that will not run? After shopping around and making price comparisons, most people find that these decisions are much less complicated than they seem at first.
Third Body Paragraph
Topic sentence
support
The confidence that single people get from learning to deal with practical matters can boost their chances for establishing new friendships. When singles feel self-reliant, they can have an easier time getting out and meeting new people. For instance, some students are in the habit of always going to classes with a friend. When they break this dependency, they can be pleasantly surprised to find that they can concentrate better on the course and also have a chance to make some new friends. Likewise, the idea of going alone to the beach or to parties can paralyze some singles. Once they make the attempt, however, people alone usually find that almost everyone welcomes a new, friendly face.
Fourth Body Paragraph
Topic sentence
support
Probably the most difficult problem for people living alone is dealing with feelings of loneliness. First, they have to understand the feeling. Some people confuse being alone with feeling lonely. They need to remember that unhappily married people can feel very lonely with spouses, and anyone can suffer from loneliness in a room crowded with friends. Second, people living alone have to fight any tencendies to get depressed. Depression can lead to much unhappiness, including conpulsive behavior like overeating or spending too much money. Depression can also drive people to fill the feeling of emptiness by getting into relationships or jobs that they do not truly want. Third, people living alone need to get involved in useful and pleasurable activities, such as volunteering their services to help others.
Conclusion:
Call for awarness
People need to ask themselves, "If I had to live alone starting tomorrow morning, would I know how?" If the answer is "No," they need to become conscious of what living alone calls for. People who face up to life usually do not have to hide from it later on.
中文：
知道如何独自生活
景区简介
“钩”
连接信息
论文陈述
“一个人从不寂寞，说：”在生活在赞美诗人和作家玛丽萨顿。然而，大多数人，害怕孤独的生活。他们习惯于与他人的生活——儿童的父母，室友，室友，朋友的朋友，丈夫和妻子。当统计赶上他们，因此，他们很少会。机率很高，大多数成年男性和女性都需要了解如何相处，短暂或更长的时间，在一些时间在他们的生活。
第一段
主题句
背景：统计
和他们有关的论文。
（背景段并不总是包含在一个学术论文。）
在美国，情况往往迫使人们独自生活。例如，许多高中毕业生和大学毕业生的离开他们的家乡，继续他们的教育或工作。大多数学校分配的室友，但雇主通常期望别人来照顾自己的生活安排。同时，已婚的人可能会觉得他们会永远在一起，但目前一半的婚姻以离婚告终。一个更可悲的一方死亡的统计问题。据估计，在未来二十年八的十例已婚妇女成为寡妇，通常在生命的晚期。这些事实表明，大多数人都有自己过至少一次在他们的生活，不管他们是否愿意。
第二段
主题句
支持
一个准备独自生活的好方法是学习如何照顾的实际问题。例如，一些学生和单身的人可能不知道如何做开一个支票帐户一样简单。当一个人做出安排，他们可能太紧张，发现他们可以比较银行以及各类帐户的好处。同样，购买大件物品是独自居住的人可能要处理。当离婚或丧偶的人结婚，也许另做选择或sopuse夫妇一起做决定。但一个人多久可以有冰箱无法修复或一辆汽车，将不运行管理？购物和做价格比较后，大多数人发现，这些决定都比他们最初似乎不太复杂的多。
第三段体
主题句
支持
信心，从学习中获得单人处理实际问题可以提高自己的机会建立新的友谊。当光棍感觉自立，他们可以走出去，遇见新的人有更充裕的时间。例如，有些学生习惯于总是去上课，与朋友。当他们打破这种依赖，他们可以发现他们可以更好地集中于课程和也惊喜有机会结交一些新朋友。同样地，独自去到海边的想法或政党可以麻痹一些单打。一旦他们尝试，然而，人会发现，几乎每个人都欢迎一个新的，友好的脸。
第四段体
主题句
支持
可能是最困难的问题，独自居住的人是孤独的感觉。首先，他们必须了解的感觉。有些人会感到寂寞孤独。他们需要记住，婚姻不幸的人与配偶感到很孤独，和任何人都能承受在一个房间里挤满了朋友的孤独。第二，独自居住的人有打任何tencendies感到沮丧。抑郁症可以导致很不愉快，包括conpulsive行为如暴饮暴食或花费太多的钱。抑郁症也可以驱动的人来填补空虚的感觉进入关系或工作，他们并不真正想要的。第三，独自居住的人需要参与有用和愉快的活动，如志愿服务去帮助别人。
结论：
称为意识
人们需要问自己，“如果我不得不独自生活，从明天开始，我会知道？”如果答案是“不，“他们需要意识到什么独自生活的要求。人面对生活通常没有躲避它后来。
这是一篇高材生的论文。请不要抄哦。是上了美国名校还得了奖学金的人写的。这是分掉解释过的 求采纳
『贰』 人工智能英语加盟哪家口碑好些
智能英语项目眼花缭乱，真真假假虚虚实实一时间很难鉴别。其实目前市场上的智能英语大致可以分为三类：
第一类，是专门针对记单词，这类项目主打的口号就是“词汇量不够，听力听不懂，阅读看不懂，作文不会写”，例如目前专门针对记单词的第一家就是学考乐单词突击，还有同类平台就不一一赘述。因为学考乐单词突击是第一家专注记单词且市场比较有代表性的平台。
第二类，就是主要针对英语单词、听力、口语、语法、音标等基本功训练的智能英语项目。这类智能英语平台对智能教育的理解更深刻。因为智能作为一种新兴技术的存在就像蒸汽革命、电力革命、互联网革命，他们的本质都是在不断的替代人类重复的、机械的、枯燥的学习工作生活，让人不断的解放出来。其实智能与教育的结合也是如此，他应当替代的也是重复的枯燥的机械的学习或教学，让学生学习不再盲目做题刷题，让老师不再盲目重复教学。高考机器阅卷就是一个显然的技术解放老师的体现。甚至，智能教育应该是去替代老师在课堂上不擅长的教学内容。那么哪些是老师不擅长的教学内容呢?记单词是一个，老师最多就是抽查默写，除此之外他是无法把上千个单词塞到学生的脑海之中的。听力口语训练也是如此，老师在课堂上可以帮助孩子纠正具体的发音，更多的还是要靠课堂外孩子通过多次训练提升口语听力能力。语法也是如此，老师非常擅长教孩子语法题型，就像数学老师擅长教孩子计算公式。但是如果孩子要掌握这些语法题型必须通过大量的训练,显然这是在课堂不能完成的。那么老师擅长什么呢?老师擅长对具体知识点的讲解，擅长对学生想象力和学习力的培养。比如，智橡树智能英语。
第三类，就是覆盖了英语各个学习板块，除了智橡树智能英语提到的单词 音标 口语 听力 语法训练 还有阅读训练以及写作训练。这类平台如果从市场营销的角度看固然有很大的市场卖点，毕竟在用户眼里“他巴不得一个产品能解决所有的问题”，但是从实用性的角度来看，笔者有几个疑问：对于一个英语成绩差的学生来说，当他打开系统发现他不仅要记单词还要学语法阅读写作，他会作何感想?如果一个系统覆盖了英语的所有学习内容真的好吗?谁能确定机器教的就一定比人好?难道有些知识不是老师最擅长的应该交给老师吗? 当然今天我们不去讨论一个产品的实用性，我们主要是就分类去说明。目前第三类比较有代表的是红杉树智能英语
『叁』 人工智能将怎样影响我们生活高中英语作文
我家有只活泼的小狗，它长着雪白雪白的毛，只有额头上是淡褐色版的，它有又尖又长权的嘴巴，锋利的牙齿和爪子，又红又湿的鼻子，三角形的耳朵，明亮的大眼睛，就像一位白雪公主，美丽极了。我给小狗起了个名字，叫：欢欢。 欢欢的性格和名字一样，非常的欢快、活泼，每当我放学回到家，欢欢就会一下子冲出来，在我的双脚之间来回的磨蹭来，磨蹭去，甚至朝我扑过来，要我抱。之后，妈妈就找了个我们不用的小桌子，把欢欢放上去，快放学了，欢欢就坐在桌子上，抬头遥望着学校的大门，那双忧郁的眼神，好像在说：“小主人，你什么时候才放学？我在家里等着你回来陪我玩呢！”放学了，同学们列队走出校门，欢欢就一个人一个人
『肆』 英语阅读理解文章内容有固定的模型吗
有，不过不同的英语阶段，阅读来源不一样，比如研究生就是外国的杂志原文，高中也是外报回外答刊(一度以为高考英语是考研究生或者大学四级英语)，初中的就比较简单一些了
一方面你要了解现在发生的事情，因为报刊也不会写没意义的文章，都是最近或者比较火的事情，多看多读多练就可以
你不要把它想的非常难，就像语文阅读一样，外国人考中文也有阅读理解，这么想，想的太多太复杂往往就会进入死胡同的
『伍』 人民教育出版社 高中英语必修2第三单元的阅读部分 WHO AM I 的中文翻译
我是谁?
经过很长时间我已经改变了很多。1642年我在法国诞生时是一台计算机器。尽管当时我还年轻，但是我能简化一些复杂的计算题。我发育缓慢，差不多到了两百年之后，查尔斯巴比奇才把我制成了一台分析机。在操作员用穿孔卡为我设计程序之后，我能够进行逻辑“思考”，并且能够比任何人更快地算出答案。那时，这被当作是一次技术革命，也是我“人工智能”的开始。在1936年，我真正的父亲，艾伦图灵写了一本书，讲述了怎样能使我成为一台“通用机器”来解决任何数学难题。从那时起，我在体积和脑容量方面迅速成长。到二十世纪四十年代，我已经长得像一间屋子那么大，我不知道是否还会长得更大。然而，这个现实也使我的设计者很担心。随着时间的推移，我被做的越来越小。自二十世纪七十年代以来，我一直被用在办公室和家庭里，先是用作个人电脑，后来又做成便携式。
这些变化只有随着我的存储能力的不断提高才能成为可能。最初是被存储到电子管，以后是晶体管上，后来是非常小的芯片上。因此，我已经完全改变了我的形状。随着我年龄越来越大，我也变得越来越小。随着时间的推移，我的记忆能力发展的如此之快，就像一头大象一样，我从来不会忘记告诉我的任何事情！我的存储能力变得如此巨大，连我自己都不能相信！但是我总是孤孤单单地站在那里，直到二十世纪六十年代初，人们才给了我一个用网络联成的家庭。我能够通过万维网和其他人分享我的知识。
从二十世纪七十年代起，我被开发出了很多新的用途。我在通讯、金融和商业领域变得非常重要。我还被放在机器人里面，被用来制作移动手机，并且用来帮助做医疗手术。我还被放置在航空火箭里去探测月球和火星。不管怎样，我的目标是给人类提供高质量的生活。现在我充满了幸福感，因为我是人类忠实的朋友并时时给他们提供帮助。
『陆』 高三时一篇英语课文有关于机器人的文章，有关于它的电影，电影叫啥名字
科幻小说改编的《人工智能》 (2001)
导演: 史蒂文·斯皮尔伯格
主演: 海利·乔·奥斯蒙版 / 弗兰西丝·奥康纳 / 山姆·洛权巴兹 / 杰克·托马斯 / 裘德·洛
类型: 剧情 / 科幻 / 冒险
制片国家/地区: 美国
语言: 英语
上映日期: 2001-06-26
『柒』 有关人工智能对生活的影响的英语作文加翻译高中水平
『捌』 是否应该开发人工智能机器人，展开谈论，写一篇120到150字，高二高二英语短文。 提示，（...
Nowadays there is a heated discussion on the topic that whether people should intensify the development of artificial intellects such as robots.Most people are in favor of it as robots can protect people from dangerous activities ,which can also be beneficial to disabled people’s daily life.The application of the technology will not make people lazy and it will not rule the world as well as owning the capacity of pondering on its own.
『玖』 求英文演讲稿 主题 人工智能 （高中水平） 10分钟演讲的样子
本文 仅供参考， 请自行修改
10 Examples of Artificial Intelligence You’re Using in Daily Life
Internet Tech
Artificial intelligence (AI) might seem like the realm of
science fiction, but you might be surprised to find out that you’re
already using it. AI has a huge effect on your life, whether you’re
aware of it or not, and its influence is likely to grow in the coming
years. Here are 10 examples of artificial intelligence that you’re
already using every day.
Virtual Personal Assistants
Siri, Google Now, and Cortana
are all intelligent digital personal assistants on various platforms
(iOS, Android, and Windows Mobile). In short, they help find useful
information when you ask for it using your voice; you can say “Where’s
the nearest Chinese restaurant?”, “What’s on my schele today?”,
“Remind me to call Jerry at eight o’clock,” and the assistant will
respond by finding information, relaying information from your phone, or
sending commands to other apps.
AI is important in these apps, as they collect information on your
requests and use that information to better recognize your speech and
serve you results that are tailored to your preferences. Microsoft says
that Cortana “continually learns about its user” and that it will
eventually develop the ability to anticipate users’ needs. Virtual
personal assistants process a huge amount of data from a variety of
sources to learn about users and be more effective in helping them
organize and track their information.
Video Games
One of the instances of AI that most people are probably familiar
with, video game AI has been used for a very long time—since the very
first video games, in fact. But the complexity and effectiveness of that
AI has increased exponentially over the past several decades, resulting
in video game characters that learn your behaviors, respond to stimuli,
and react in unpredictable ways. 2014’s Middle Earth: Shadow of Mordor
is especially notable for the indivial personalities given to each
non-player character, their memories of past interaction, and their
variable objectives.
First-person shooters like Far Cry and Call of Duty
also make significant use of AI, with enemies that can analyze their
environments to find objects or actions that might be beneficial to
their survival; they’ll take cover, investigate sounds, use flanking
maneuvers, and communicate with other AIs to increase their chances of
victory. As far as AI goes, video games are somewhat simplistic, but
because of the instry’s huge market, a great deal of effort and money
are invested every year in perfecting this type of AI.
Smart Cars
You probably haven’t seen someone reading the newspaper while driving
to work yet, but self-driving cars are moving closer and closer to
reality; Google’s self-driving car project and Tesla’s “autopilot”
feature are two examples that have been in the news lately. Earlier this
year, the Washington Post reported
on an algorithm developed by Google that could potentially let
self-driving cars learn to drive in the same way that humans do: through
experience.
The AI detailed in this article learned to play simple video games,
and Google will be testing that same intelligence in driving
games before moving onto the road. The idea is that, eventually, the car
will be able to “look” at the road ahead of it and make decisions based
on what it sees, helping it learn in the process. While Tesla’s
autopilot feature isn’t quite this advanced, it’s already being used on
the road, indicating that these technologies are certainly on their way
in.
Purchase Prediction
Large retailers like Target and Amazon stand to make a lot of money
if they can anticipate your needs. Amazon’s anticipatory shipping
project hopes to send you items before you need them,
completely obviating the need for a last-minute trip to the online
store. While that technology isn’t yet in place, brick-and-mortar
retailers are using the same ideas with coupons; when you go to the
store, you’re often given a number of coupons that have been selected by
a predictive analytics algorithm.
This can be used in a wide variety of ways, whether it’s sending you
coupons, offering you discounts, targeting advertisements, or stocking
warehouses that are close to your home with procts that you’re likely
to buy. As you can imagine, this is a rather controversial use of AI,
and it makes many people nervous about potential privacy violations from
the use of predictive analytics.
Fraud Detection
Have you ever gotten an email or a letter asking you if you made a
specific purchase on your credit card? Many banks send these types of
communications if they think there’s a chance that fraud may have been
committed on your account, and want to make sure that you approve the
purchase before sending money over to another company. Artificial
intelligence is often the technology deployed to monitor for this type
of fraud.
In many cases, computers are given a very large sample of fraulent
and non-fraulent purchases and asked to learn to look for signs that a
transaction falls into one category or another. After enough training,
the system will be able to spot a fraulent transaction based on the
signs and indications that it learned through the training exercise.
Online Customer Support
Many websites now offer customers the opportunity to chat with a
customer support representative while they’re browsing—but not every
site actually has a live person on the other end of the line. In many
cases, you’re talking to a rudimentary AI. Many of these chat support
bots amount to little more than automated responders, but some of them
are actually able to extract knowledge from the website and present it
to customers when they ask for it.
Perhaps most interestingly, these chat bots need to be adept at
understanding natural language, which is a rather difficult proposition;
the way in which customers talk and the way in which computers talk is
very different, and teaching a machine to translate between the two
isn’t easy. But with rapid advances in natural language processing
(NLP), these bots are getting better all the time.
News Generation
Did you know that artificial intelligence programs can write news stories? According to Wired,
the AP, Fox, and Yahoo! all use AI to write simple stories like
financial summaries, sports recaps, and fantasy sports reports. AI isn’t
writing in-depth investigative articles, but it has no problem with
very simple articles that don’t require a lot of synthesis. Automated
Insights, the company behind the Wordsmith software,
says that e-commerce, financial services, real estate, and other
“data-driven” instries are already benefitting from the app.
Of course, Wordsmith still needs quite a bit of help from an actual
author to get setup and give it the matrix article that data is placed
into. However, the concept has been proven, and it’s likely that we’ll
see more and more reports generated by these means. Moving beyond
data-driven fields will require major leaps in technology, but the
groundwork has been laid, and it seems like it’s only a matter of time
until fully automated reporters become a reality.
Security Surveillance
A single person monitoring a number of video cameras isn’t a very
secure system; people get bored easily, and keeping track of multiple
monitors can be difficult even in the best of circumstances. Which is
why training computers to monitor those cameras makes a great deal of
sense. With supervised training exercises, security algorithms can take
input from security cameras and determine whether there may be a
threat—if it “sees” a warning sign, it will alert human security
officers.
Of course, the number of things that these computers can catch is currently pretty limited—Wired talks about
seeing flashes of color that may indicate an intruder or someone
loitering around a schoolyard. Identifying actions that might imply a
thief in a store are likely beyond the current technological
limitations, but don’t be surprised if this sort of technology debuts in
the near future.
Music and Movie Recommendation Services
While they’re rather simple when compared to other AI systems, apps like Spotify,
Pandora, and Netflix accomplish a useful task: recommending music and
movies based on the interests you’ve expressed and judgments you’ve made
in the past. By monitoring the choices you make and inserting them into
a learning algorithm, these apps make recommendations that you’re
likely to be interested in.
Much of this functionality is dependent on human-assigned factors.
For example, a song might have “driving bass,” “dynamic vocals,” and
“guitar riffs” listed as characteristics; if you like that song, you’ll
probably like other songs that include the same characteristics. This is
the basis of many recommendation services; and while it’s not
futuristically advanced, it does do a pretty good job of helping you
discover new music and movies.
Smart Home Devices
Many smart home devices now include the ability to learn your
behavior patterns and help you save money by adjusting the settings on
your thermostat or other appliances in an effort to increase convenience
and save energy. For example, turning your oven on when you leave work
instead of waiting to get home is a very convenient ability. A
thermostat that knows when you’re home and adjusts the temperature
accordingly can help you save money by not heating the house when you’re
out.
Lighting is another place where you might see basic artificial
intelligence; by setting defaults and preferences, the lights around
your house (both inside and outside) might adjust based on where you are
and what you’re doing; dimmer for watching TV, brighter for cooking,
and somewhere in the middle for eating, for example. The uses of AI in
smart homes are limited only by our imagination.