Практика Shadowing: What Is AI? | Artificial Intelligence | What is Artificial Intelligence? | AI In 5 Mins |Simplilearn - Изучайте разговорный английский по видео

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63 предложений
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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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Лексика и советы по произношению к этому уроку

Чаще всего повторяются слова: robot, learning, machine, intelligence, Alexa. В этом видео 63 предложений и 761 слов для шедоуинга. Речь длится 5:11. Говорящий держит ровный темп — около 147 слов в минуту, удобный для шедоуинга. Только 77% слов входят в 3000 самых частых слов английского языка, поэтому лексика сложная.

Ключевая лексика этого видео

15 слов из видео, которые стоит выучить, с произношением и значением:

СловоПроизношениеЗначение
robot существительное/ˈɹoʊ.bɑt/ро́бот
artificial прилагательное/ˌɑː.tɪˈfɪʃ.əl/иску́сственный
emotion существительное/ɪˈməʊ.ʃən/эмо́ция, чу́вство
capability существительное/ˌkeɪ.pəˈbɪl.ɪ.ti/спосо́бность
input существительное/ˈɪnpʊt/вклад
predict глагол/pɹɪˈdɪkt/предска́зывать, предсказа́ть
algorithm существительное/ˈælɡəɹɪðm̩/алгори́тм
technique существительное/tɛkˈniːk/те́хника
mystery существительное/ˈmɪs.t(ə.)ɹi/та́йна, зага́дка
fiction существительное/ˈfɪkʃən/худо́жественная литерату́ра, беллетри́стика
ideal прилагательное/aɪˈdi(ə)l/идеа́льный
solve глагол/sɒlv/реша́ть, реши́ть
aspect существительное/ˈæspɛkt/аспе́кт, вид
narrow прилагательное/ˈnæɹəʊ/у́зкий, те́сный
landscape существительное/ˈlan(d)skeɪp/ландша́фт, пейза́ж

Фразовые глаголы, которые вы услышите

СловоЗначение
pick up глаголподбира́ть, подобра́ть

Произношение, на которое стоит обратить внимание

Говорящий использует 4 сокращённых и редуцированных форм, например can't, doesn't, don't. Произносите их коротко, так, как слышите.

  • Звуки «th»: algorithm /ˈælɡəɹɪðm̩/, mathematical /ˌmæθ(.ə)ˈmæt.ɪ.kəl/
  • Звуки «sh» и «zh»: artificial /ˌɑː.tɪˈfɪʃ.əl/, emotion /ɪˈməʊ.ʃən/, fiction /ˈfɪkʃən/, citizenship /ˈsɪtɪzənʃɪp/, variation /ˌvɛəɹiˈeɪʃn̩/
  • Длинные слова — следите за ударением: artificial /ˌɑː.tɪˈfɪʃ.əl/, capability /ˌkeɪ.pəˈbɪl.ɪ.ti/, intelligent /ɪnˈtɛlɪd͡ʒənt/, citizenship /ˈsɪtɪzənʃɪp/, mathematical /ˌmæθ(.ə)ˈmæt.ɪ.kəl/

Звуки, трудные для русскоязычных:

  • /w/ — губы округлены, это не /v/: swim /swɪm/, quiz /kwɪz/
  • Звонкие согласные в конце слова — не оглушайте их: solve /sɒlv/, subscribe /səbˈskɹaɪb/, organize /ˈɔɹɡənaɪz/, quiz /kwɪz/, perceive /pɚˈsiv/

Как заниматься с этим видео

  1. Прослушайте всё видео один раз молча и выпишите незнакомые слова.
  2. Повторяйте предложение за предложением на обычной скорости, пока ваш ритм не совпадёт с ритмом говорящего.
  3. Запишите себя и сравните с оригиналом, обращая внимание на такие слова, как robot, artificial, emotion.

Что такое техника Shadowing?

Shadowing — это научно обоснованная техника изучения языка, изначально разработанная для подготовки профессиональных переводчиков и популяризированная полиглотом доктором Александром Аргуэльесом. Метод прост, но эффективен: вы слушаете аудио на английском от носителей языка и немедленно повторяете вслух — как тень, следующая за говорящим с задержкой в 1–2 секунды. В отличие от пассивного прослушивания или грамматических упражнений, Shadowing заставляет мозг и мышцы рта одновременно обрабатывать и воспроизводить реальные речевые паттерны. Исследования показывают, что это значительно улучшает точность произношения, интонацию, ритм, связную речь, понимание на слух и беглость речи — что делает его одним из самых эффективных методов для подготовки к IELTS Speaking и реального общения на английском.

Техника шедоуинга: читать полное пошаговое руководство →