Shadowing Practice: What Is AI? | Artificial Intelligence | What is Artificial Intelligence? | AI In 5 Mins |Simplilearn - Learn English Speaking with Video

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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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Vocabulario y notas de pronunciación para esta lección

Las palabras que más se repiten: robot, learning, machine, intelligence, Alexa. Este vídeo tiene 63 frases y 761 palabras para practicar shadowing. La parte hablada dura 5:11. El hablante mantiene un ritmo constante de unas 147 palabras por minuto, cómodo para el shadowing. Solo el 77 % de las palabras está entre las 3.000 más comunes del inglés, por lo que el vocabulario es exigente.

Vocabulario clave de este vídeo

15 palabras del vídeo que vale la pena aprender, con su pronunciación y significado:

PalabraPronunciaciónSignificado
robot sustantivo/ˈɹoʊ.bɑt/robot
artificial adjetivo/ˌɑː.tɪˈfɪʃ.əl/artificial
emotion sustantivo/ɪˈməʊ.ʃən/afecto, emoción
input sustantivo/ˈɪnpʊt/aportación, aporte
predict verbo/pɹɪˈdɪkt/predecir
algorithm sustantivo/ˈælɡəɹɪðm̩/algoritmo
technique sustantivo/tɛkˈniːk/técnica
mystery sustantivo/ˈmɪs.t(ə.)ɹi/misterio, arcano
fiction sustantivo/ˈfɪkʃən/ficción
ideal adjetivo/aɪˈdi(ə)l/ideal, idóneo
solve verbo/sɒlv/resolver, solucionar
aspect sustantivo/ˈæspɛkt/aspecto
narrow adjetivo/ˈnæɹəʊ/estrecho, angosto
landscape sustantivo/ˈlan(d)skeɪp/paisaje, terrazo
domain sustantivo/ˌdəʊˈmeɪ̯n/dominio

Phrasal verbs que vas a escuchar

PalabraSignificado
pick up verbocoger, asir

Pronunciación a tener en cuenta

El hablante usa 4 contracciones y formas reducidas, como can't, doesn't, don't. Dilas en su forma corta, tal como las oyes.

  • Los sonidos de “th”: algorithm /ˈælɡəɹɪðm̩/, mathematical /ˌmæθ(.ə)ˈmæt.ɪ.kəl/
  • Los sonidos de “sh” y “zh”: artificial /ˌɑː.tɪˈfɪʃ.əl/, emotion /ɪˈməʊ.ʃən/, fiction /ˈfɪkʃən/, citizenship /ˈsɪtɪzənʃɪp/, variation /ˌvɛəɹiˈeɪʃn̩/
  • Palabras largas — cuida el acento: artificial /ˌɑː.tɪˈfɪʃ.əl/, capability /ˌkeɪ.pəˈbɪl.ɪ.ti/, intelligent /ɪnˈtɛlɪd͡ʒənt/, citizenship /ˈsɪtɪzənʃɪp/, mathematical /ˌmæθ(.ə)ˈmæt.ɪ.kəl/

Sonidos difíciles para hispanohablantes:

  • s + consonante al inicio — sin añadir una “e” delante: swim /swɪm/, smartphone /ˈsmɑɹtfoʊn/, spite /spaɪt/, stroll /stɹoʊl/, skeletal /ˈskɛl.ə.təl/
  • /v/ — no es /b/: los dientes tocan el labio inferior: solve /sɒlv/, surveillance /sɚˈveɪ.ləns/, variation /ˌvɛəɹiˈeɪʃn̩/, perceive /pɚˈsiv/, pave /peɪv/
  • /z/ — sonora, no /s/: citizenship /ˈsɪtɪzənʃɪp/, organize /ˈɔɹɡənaɪz/, quiz /kwɪz/, customize /ˈkʌs.tə.maɪ̯z/, generalize /ˈd͡ʒɛn.(ə.)ɹə.laɪz/

Cómo practicar con este vídeo

  1. Escucha el vídeo entero una vez sin hablar y anota las palabras que no conoces.
  2. Haz shadowing frase por frase a velocidad normal, repitiendo cada una hasta que tu ritmo coincida con el del hablante.
  3. Grábate y compara con el original, prestando atención a palabras como robot, artificial, emotion.

¿Qué es la Técnica de Shadowing?

Shadowing es una técnica de aprendizaje de idiomas respaldada por la ciencia, desarrollada originalmente para la formación de intérpretes profesionales y popularizada por el políglota Dr. Alexander Arguelles. El método es simple pero poderoso: escuchas audio en inglés nativo y lo repites en voz alta de inmediato, como una sombra que sigue al hablante con solo 1-2 segundos de retraso. A diferencia de la escucha pasiva o los ejercicios de gramática, el shadowing obliga a tu cerebro y músculos de la boca a procesar y reproducir simultáneamente patrones de habla reales. Las investigaciones muestran que mejora significativamente la precisión de la pronunciación, la entonación, el ritmo, el habla conectada, la comprensión auditiva y la fluidez al hablar, convirtiéndola en una de las metodologías más efectivas para la preparación del IELTS Speaking y la comunicación en inglés en el mundo real.

Técnica de shadowing: lee la guía completa paso a paso →