『壹』 全部家當求一篇人工智慧的英文論文及翻譯。
只是論文么？直接回答給你可以么？
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：
知道如何獨自生活
景區簡介
「鉤」
連接信息
論文陳述
「一個人從不寂寞，說：」在生活在贊美詩人和作家瑪麗薩頓。然而，大多數人，害怕孤獨的生活。他們習慣於與他人的生活——兒童的父母，室友，室友，朋友的朋友，丈夫和妻子。當統計趕上他們，因此，他們很少會。機率很高，大多數成年男性和女性都需要了解如何相處，短暫或更長的時間，在一些時間在他們的生活。
第一段
主題句
背景：統計
和他們有關的論文。
（背景段並不總是包含在一個學術論文。）
在美國，情況往往迫使人們獨自生活。例如，許多高中畢業生和大學畢業生的離開他們的家鄉，繼續他們的教育或工作。大多數學校分配的室友，但僱主通常期望別人來照顧自己的生活安排。同時，已婚的人可能會覺得他們會永遠在一起，但目前一半的婚姻以離婚告終。一個更可悲的一方死亡的統計問題。據估計，在未來二十年八的十例已婚婦女成為寡婦，通常在生命的晚期。這些事實表明，大多數人都有自己過至少一次在他們的生活，不管他們是否願意。
第二段
主題句
支持
一個准備獨自生活的好方法是學習如何照顧的實際問題。例如，一些學生和單身的人可能不知道如何做開一個支票帳戶一樣簡單。當一個人做出安排，他們可能太緊張，發現他們可以比較銀行以及各類帳戶的好處。同樣，購買大件物品是獨自居住的人可能要處理。當離婚或喪偶的人結婚，也許另做選擇或sopuse夫婦一起做決定。但一個人多久可以有冰箱無法修復或一輛汽車，將不運行管理？購物和做價格比較後，大多數人發現，這些決定都比他們最初似乎不太復雜的多。
第三段體
主題句
支持
信心，從學習中獲得單人處理實際問題可以提高自己的機會建立新的友誼。當光棍感覺自立，他們可以走出去，遇見新的人有更充裕的時間。例如，有些學生習慣於總是去上課，與朋友。當他們打破這種依賴，他們可以發現他們可以更好地集中於課程和也驚喜有機會結交一些新朋友。同樣地，獨自去到海邊的想法或政黨可以麻痹一些單打。一旦他們嘗試，然而，人會發現，幾乎每個人都歡迎一個新的，友好的臉。
第四段體
主題句
支持
可能是最困難的問題，獨自居住的人是孤獨的感覺。首先，他們必須了解的感覺。有些人會感到寂寞孤獨。他們需要記住，婚姻不幸的人與配偶感到很孤獨，和任何人都能承受在一個房間里擠滿了朋友的孤獨。第二，獨自居住的人有打任何tencendies感到沮喪。抑鬱症可以導致很不愉快，包括conpulsive行為如暴飲暴食或花費太多的錢。抑鬱症也可以驅動的人來填補空虛的感覺進入關系或工作，他們並不真正想要的。第三，獨自居住的人需要參與有用和愉快的活動，如志願服務去幫助別人。
結論：
稱為意識
人們需要問自己，「如果我不得不獨自生活，從明天開始，我會知道？」如果答案是「不，「他們需要意識到什麼獨自生活的要求。人面對生活通常沒有躲避它後來。
這是一篇高材生的論文。請不要抄哦。是上了美國名校還得了獎學金的人寫的。這是分掉解釋過的 求採納
『貳』 人工智慧英語加盟哪家口碑好些
智能英語項目眼花繚亂，真真假假虛虛實實一時間很難鑒別。其實目前市場上的智能英語大致可以分為三類：
第一類，是專門針對記單詞，這類項目主打的口號就是「詞彙量不夠，聽力聽不懂，閱讀看不懂，作文不會寫」，例如目前專門針對記單詞的第一家就是學考樂單詞突擊，還有同類平台就不一一贅述。因為學考樂單詞突擊是第一家專注記單詞且市場比較有代表性的平台。
第二類，就是主要針對英語單詞、聽力、口語、語法、音標等基本功訓練的智能英語項目。這類智能英語平台對智能教育的理解更深刻。因為智能作為一種新興技術的存在就像蒸汽革命、電力革命、互聯網革命，他們的本質都是在不斷的替代人類重復的、機械的、枯燥的學習工作生活，讓人不斷的解放出來。其實智能與教育的結合也是如此，他應當替代的也是重復的枯燥的機械的學習或教學，讓學生學習不再盲目做題刷題，讓老師不再盲目重復教學。高考機器閱卷就是一個顯然的技術解放老師的體現。甚至，智能教育應該是去替代老師在課堂上不擅長的教學內容。那麼哪些是老師不擅長的教學內容呢?記單詞是一個，老師最多就是抽查默寫，除此之外他是無法把上千個單詞塞到學生的腦海之中的。聽力口語訓練也是如此，老師在課堂上可以幫助孩子糾正具體的發音，更多的還是要靠課堂外孩子通過多次訓練提升口語聽力能力。語法也是如此，老師非常擅長教孩子語法題型，就像數學老師擅長教孩子計算公式。但是如果孩子要掌握這些語法題型必須通過大量的訓練,顯然這是在課堂不能完成的。那麼老師擅長什麼呢?老師擅長對具體知識點的講解，擅長對學生想像力和學習力的培養。比如，智橡樹智能英語。
第三類，就是覆蓋了英語各個學習板塊，除了智橡樹智能英語提到的單詞 音標 口語 聽力 語法訓練 還有閱讀訓練以及寫作訓練。這類平台如果從市場營銷的角度看固然有很大的市場賣點，畢竟在用戶眼裡「他巴不得一個產品能解決所有的問題」，但是從實用性的角度來看，筆者有幾個疑問：對於一個英語成績差的學生來說，當他打開系統發現他不僅要記單詞還要學語法閱讀寫作，他會作何感想?如果一個系統覆蓋了英語的所有學習內容真的好嗎?誰能確定機器教的就一定比人好?難道有些知識不是老師最擅長的應該交給老師嗎? 當然今天我們不去討論一個產品的實用性，我們主要是就分類去說明。目前第三類比較有代表的是紅杉樹智能英語
『叄』 人工智慧將怎樣影響我們生活高中英語作文
我家有隻活潑的小狗，它長著雪白雪白的毛，只有額頭上是淡褐色版的，它有又尖又長權的嘴巴，鋒利的牙齒和爪子，又紅又濕的鼻子，三角形的耳朵，明亮的大眼睛，就像一位白雪公主，美麗極了。我給小狗起了個名字，叫：歡歡。 歡歡的性格和名字一樣，非常的歡快、活潑，每當我放學回到家，歡歡就會一下子沖出來，在我的雙腳之間來回的磨蹭來，磨蹭去，甚至朝我撲過來，要我抱。之後，媽媽就找了個我們不用的小桌子，把歡歡放上去，快放學了，歡歡就坐在桌子上，抬頭遙望著學校的大門，那雙憂郁的眼神，好像在說：「小主人，你什麼時候才放學？我在家裡等著你回來陪我玩呢！」放學了，同學們列隊走出校門，歡歡就一個人一個人
『肆』 英語閱讀理解文章內容有固定的模型嗎
有，不過不同的英語階段，閱讀來源不一樣，比如研究生就是外國的雜志原文，高中也是外報回外答刊(一度以為高考英語是考研究生或者大學四級英語)，初中的就比較簡單一些了
一方面你要了解現在發生的事情，因為報刊也不會寫沒意義的文章，都是最近或者比較火的事情，多看多讀多練就可以
你不要把它想的非常難，就像語文閱讀一樣，外國人考中文也有閱讀理解，這么想，想的太多太復雜往往就會進入死胡同的
『伍』 人民教育出版社 高中英語必修2第三單元的閱讀部分 WHO AM I 的中文翻譯
我是誰?
經過很長時間我已經改變了很多。1642年我在法國誕生時是一台計算機器。盡管當時我還年輕，但是我能簡化一些復雜的計算題。我發育緩慢，差不多到了兩百年之後，查爾斯巴比奇才把我製成了一台分析機。在操作員用穿孔卡為我設計程序之後，我能夠進行邏輯「思考」，並且能夠比任何人更快地算出答案。那時，這被當作是一次技術革命，也是我「人工智慧」的開始。在1936年，我真正的父親，艾倫圖靈寫了一本書，講述了怎樣能使我成為一台「通用機器」來解決任何數學難題。從那時起，我在體積和腦容量方面迅速成長。到二十世紀四十年代，我已經長得像一間屋子那麼大，我不知道是否還會長得更大。然而，這個現實也使我的設計者很擔心。隨著時間的推移，我被做的越來越小。自二十世紀七十年代以來，我一直被用在辦公室和家庭里，先是用作個人電腦，後來又做成攜帶型。
這些變化只有隨著我的存儲能力的不斷提高才能成為可能。最初是被存儲到電子管，以後是晶體管上，後來是非常小的晶元上。因此，我已經完全改變了我的形狀。隨著我年齡越來越大，我也變得越來越小。隨著時間的推移，我的記憶能力發展的如此之快，就像一頭大象一樣，我從來不會忘記告訴我的任何事情！我的存儲能力變得如此巨大，連我自己都不能相信！但是我總是孤孤單單地站在那裡，直到二十世紀六十年代初，人們才給了我一個用網路聯成的家庭。我能夠通過萬維網和其他人分享我的知識。
從二十世紀七十年代起，我被開發出了很多新的用途。我在通訊、金融和商業領域變得非常重要。我還被放在機器人裡面，被用來製作移動手機，並且用來幫助做醫療手術。我還被放置在航空火箭里去探測月球和火星。不管怎樣，我的目標是給人類提供高質量的生活。現在我充滿了幸福感，因為我是人類忠實的朋友並時時給他們提供幫助。
『陸』 高三時一篇英語課文有關於機器人的文章，有關於它的電影，電影叫啥名字
科幻小說改編的《人工智慧》 (2001)
導演: 史蒂文·斯皮爾伯格
主演: 海利·喬·奧斯蒙版 / 弗蘭西絲·奧康納 / 山姆·洛權巴茲 / 傑克·托馬斯 / 裘德·洛
類型: 劇情 / 科幻 / 冒險
製片國家/地區: 美國
語言: 英語
上映日期: 2001-06-26
『柒』 有關人工智慧對生活的影響的英語作文加翻譯高中水平
『捌』 是否應該開發人工智慧機器人，展開談論，寫一篇120到150字，高二高二英語短文。 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』 求英文演講稿 主題 人工智慧 （高中水平） 10分鍾演講的樣子
本文 僅供參考， 請自行修改
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.