跟讀練習: What Is AI? | Artificial Intelligence | What is Artificial Intelligence? | AI In 5 Mins |Simplilearn - 通過影片學習英語口語

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63 句
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Picture this, a machine that could organize your cupboard just as you like it, or serve every member of the house a customized cup of coffee.
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Makes your day easier, doesn't it?
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These are the products of artificial intelligence.
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But why use the term artificial intelligence?
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Well, these machines are artificially incorporated with human -like intelligence to perform tasks as we do.
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This intelligence is built using complex algorithms and mathematical functions.
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But AI may not be as obvious as in the previous examples.
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In fact, AI is used in smartphones, cars, social media feeds, video games,
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banking, surveillance, and many other aspects of our daily life.
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The real question is, what does an AI do at its core?
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Here is a robot we built in our lab, which is now dropped onto a field.
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In spite of a variation in lighting, landscape, and dimensions of the field, the AI robot must perform as expected.
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This ability to react appropriately to a new situation is called generalized learning.
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The robot is now at a crossroad, one that is paved and the other rocky.
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The robot must determine which path to take based on the circumstances.
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This portrays the robot's reasoning ability.
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After a short stroll, the robot now encounters a stream that it cannot swim across.
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Using the plank provided as an input, the robot is able to cross this stream.
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So, our robot uses the given input and finds the solution for a problem.
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This is problem solving.
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These three capabilities make the robot artificially intelligent.
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In short, AI provides machines with the capability to adapt, reason, and provide solutions.
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Well, now that we know what AI is, let's have a look at the two broad categories an AI is classified into.
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Weak AI, also called narrow AI, focuses solely on one task.
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For example, AlphaGo is a maestro of the game
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Go, but you can't expect it to be even remotely good at chess.
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This makes AlphaGo a weak AI.
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You might say Alexa is definitely not a weak AI, since it can perform multiple tasks.
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Well, that's not really true.
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When you ask Alexa to play Despacito, it picks up the key words play and despacito, and runs a program it is trained to.
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Alexa cannot respond to a question it isn't trained to answer.
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For instance, try asking Alexa the status of traffic from work to home.
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Alexa cannot provide you this information, as she is not trained to.
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And that brings us to our second category of AI, Strong AI.
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Now, this is much like the robots that only exist in fiction as of now.
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Ultron from Avengers is an ideal example of a strong AI.
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That's because it's self -aware and eventually even develops emotions.
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This makes the AI's response unpredictable.
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You must be wondering, well, how is artificial intelligence different from machine learning and deep learning?
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We saw what AI is.
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Machine learning is a technique to achieve AI and deep learning, in turn, is a subset of machine learning.
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Machine learning provides a machine with the capability to learn from data and experience through algorithms.
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Deep learning does this learning through ways inspired by the human brain.
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This means through deep learning, data and patterns can be better perceived.
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Ray Kurzweil, a well -known futurist, predicts that by the year 2045, we would have robots as smart as humans.
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This is called the point of singularity.
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Well, that's not all.
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In fact, Elon Musk predicts that the human mind and body will be enhanced by AI implants, which would make us partly cyborgs.
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So, here's a question for you.
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Which of the below AI projects don't exist yet?
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A. An AI robot with citizenship.
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B. A robot with a muscular skeletal system.
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C. AI that can read its owner's emotions.
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D. AI that develops emotions over time
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Give it a thought and leave your answers in the comment section below.
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Three lucky winners will receive Amazon gift vouchers.
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Since the human brain is still a mystery, it's no surprise that AI too has a lot of unventured domains.
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For now, AI is built to work with humans and make our tasks easier.
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However, with the maturation of technology, we can only wait and watch what the future of AI holds for us.
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Well, that is artificial intelligence for you in short.
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Do not forget to leave your answer to the quiz in the comment section below.
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Also… Like, share and subscribe to our channel if you enjoyed this video.
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Stay tuned and keep learning!

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本課的詞彙與口語要點

影片中反覆出現的詞有：robot, learning, machine, intelligence, Alexa。 這段影片共有 63 個句子、761 個單詞可供跟讀。 講話部分時長為 5:11。 說話人語速平穩，每分鐘約 147 個詞，很適合跟讀。 只有 77% 的單詞屬於英語最常用的 3,000 詞，詞彙難度較高。

影片中的重點詞彙

影片中 15 個值得學習的單詞，附發音和釋義：

單詞發音釋義
robot 名詞/ˈɹoʊ.bɑt/機器人 /機器人, 機械人 /機械人
artificial 形容詞/ˌɑː.tɪˈfɪʃ.əl/人造的
emotion 名詞/ɪˈməʊ.ʃən/感情, 情感
input 名詞/ˈɪnpʊt/輸入 /輸入
predict 動詞/pɹɪˈdɪkt/預言 /預言
algorithm 名詞/ˈælɡəɹɪðm̩/演算法, 演算法
technique 名詞/tɛkˈniːk/技術 /技術, 技巧
mystery 名詞/ˈmɪs.t(ə.)ɹi/謎 /謎, 謎團 /謎團
fiction 名詞/ˈfɪkʃən/虛構文學 /虛構文學, 小說 /小說
ideal 形容詞/aɪˈdi(ə)l/理想的
solve 動詞/sɒlv/解決 /解決
aspect 名詞/ˈæspɛkt/方面
narrow 形容詞/ˈnæɹəʊ/窄
landscape 名詞/ˈlan(d)skeɪp/風景 /風景, 景色
domain 名詞/ˌdəʊˈmeɪ̯n/領域 /領域

影片中出現的短語動詞

單詞釋義
pick up 動詞拾取, 撿 /撿

需要注意的發音

說話人用了 4 次縮略和弱讀形式，例如 can't, doesn't, don't。請按聽到的簡短形式來說。

  • “th” 音: algorithm /ˈælɡəɹɪðm̩/, mathematical /ˌmæθ(.ə)ˈmæt.ɪ.kəl/
  • “sh” 和 “zh” 音: artificial /ˌɑː.tɪˈfɪʃ.əl/, emotion /ɪˈməʊ.ʃən/, fiction /ˈfɪkʃən/, citizenship /ˈsɪtɪzənʃɪp/, variation /ˌvɛəɹiˈeɪʃn̩/
  • 長單詞——注意重音位置: artificial /ˌɑː.tɪˈfɪʃ.əl/, capability /ˌkeɪ.pəˈbɪl.ɪ.ti/, intelligent /ɪnˈtɛlɪd͡ʒənt/, citizenship /ˈsɪtɪzənʃɪp/, mathematical /ˌmæθ(.ə)ˈmæt.ɪ.kəl/

中文母語者容易讀錯的音：

  • /v/ — 不要讀成 /w/，上齒輕觸下唇: solve /sɒlv/, surveillance /sɚˈveɪ.ləns/, variation /ˌvɛəɹiˈeɪʃn̩/, perceive /pɚˈsiv/, pave /peɪv/
  • 詞尾子音 — 要讀清楚，後面不要加母音: robot /ˈɹoʊ.bɑt/, input /ˈɪnpʊt/, predict /pɹɪˈdɪkt/, technique /tɛkˈniːk/, solve /sɒlv/
  • /r/ 和 /l/ 的區別: algorithm /ˈælɡəɹɪðm̩/, partly /ˈpɑɹtli/, remotely /ɹɪˈmoʊtli/, stroll /stɹoʊl/, generalize /ˈd͡ʒɛn.(ə.)ɹə.laɪz/

如何用這段影片練習

  1. 先完整聽一遍影片，不要開口，記下不認識的單詞。
  2. 用正常速度逐句跟讀，每句重複到你的節奏與說話人一致為止。
  3. 錄下自己的聲音並與原聲對比，特別注意 robot, artificial, emotion 這類單詞。

什麼是跟讀法？

跟讀法 (Shadowing) 是一種有科學依據的語言學習技巧，最初開發用於專業口譯員的培訓，並由多語言者Alexander Arguelles博士普及。這個方法簡單而強大：您在聽英語母語原聲的同時立即大聲重複——就像是一個延遲1-2秒緊跟說話者的影子。與被動聽力或語法練習不同，跟讀法強迫您的大腦和口腔肌肉同時處理並模模擬實的講話模式。研究表明它能顯著提高發音準確性，語調，節奏，連讀，聽力理解和口語流利度——使其成為雅思口語備考和真實英語交流最有效的方法之一。

影子跟讀法: 閱讀完整分步指南 →