Prática de Shadowing: What Is AI? | Artificial Intelligence | What is Artificial Intelligence? | AI In 5 Mins |Simplilearn - Aprenda a falar inglês com vídeo

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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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Vocabulário e dicas de fala para esta lição

As palavras que mais se repetem: robot, learning, machine, intelligence, Alexa. Este vídeo tem 63 frases e 761 palavras para praticar shadowing. A fala dura 5:11. O falante mantém um ritmo estável de cerca de 147 palavras por minuto, confortável para o shadowing. Apenas 77% das palavras estão entre as 3.000 mais comuns do inglês, por isso o vocabulário é exigente.

Vocabulário principal deste vídeo

15 palavras do vídeo que vale a pena aprender, com pronúncia e significado:

PalavraPronúnciaSignificado
robot substantivo/ˈɹoʊ.bɑt/robot, robô
artificial adjetivo/ˌɑː.tɪˈfɪʃ.əl/artificial
emotion substantivo/ɪˈməʊ.ʃən/emoção
capability substantivo/ˌkeɪ.pəˈbɪl.ɪ.ti/capacidade
predict verbo/pɹɪˈdɪkt/prever
algorithm substantivo/ˈælɡəɹɪðm̩/algoritmo
technique substantivo/tɛkˈniːk/técnica
mystery substantivo/ˈmɪs.t(ə.)ɹi/mistério
fiction substantivo/ˈfɪkʃən/literatura de ficção, ficção
ideal adjetivo/aɪˈdi(ə)l/ideal
solve verbo/sɒlv/resolver, solucionar
aspect substantivo/ˈæspɛkt/aspeto, aspecto
narrow adjetivo/ˈnæɹəʊ/estreito, estreita
landscape substantivo/ˈlan(d)skeɪp/paisagem, panorama
domain substantivo/ˌdəʊˈmeɪ̯n/domínio

Phrasal verbs que você vai ouvir

PalavraSignificado
pick up verbopegar

Pronúncia para ficar de olho

O falante usa 4 contrações e formas reduzidas, como can't, doesn't, don't. Diga-as na forma curta, do jeito que você ouve.

  • Os sons de “th”: algorithm /ˈælɡəɹɪðm̩/, mathematical /ˌmæθ(.ə)ˈmæt.ɪ.kəl/
  • Os sons de “sh” e “zh”: artificial /ˌɑː.tɪˈfɪʃ.əl/, emotion /ɪˈməʊ.ʃən/, fiction /ˈfɪkʃən/, citizenship /ˈsɪtɪzənʃɪp/, variation /ˌvɛəɹiˈeɪʃn̩/
  • Palavras longas — acerte a sílaba tônica: artificial /ˌɑː.tɪˈfɪʃ.əl/, capability /ˌkeɪ.pəˈbɪl.ɪ.ti/, intelligent /ɪnˈtɛlɪd͡ʒənt/, citizenship /ˈsɪtɪzənʃɪp/, mathematical /ˌmæθ(.ə)ˈmæt.ɪ.kəl/

Sons difíceis para falantes de português:

  • Consoante final — sem acrescentar um “i” depois: robot /ˈɹoʊ.bɑt/, input /ˈɪnpʊt/, predict /pɹɪˈdɪkt/, technique /tɛkˈniːk/, aspect /ˈæspɛkt/
  • /l/ final — a língua toca o céu da boca, não vira “u”: artificial /ˌɑː.tɪˈfɪʃ.əl/, ideal /aɪˈdi(ə)l/, mathematical /ˌmæθ(.ə)ˈmæt.ɪ.kəl/, stroll /stɹoʊl/, skeletal /ˈskɛl.ə.təl/
  • s + consoante no início — sem um “i” antes: swim /swɪm/, smartphone /ˈsmɑɹtfoʊn/, spite /spaɪt/, stroll /stɹoʊl/, skeletal /ˈskɛl.ə.təl/

Como praticar com este vídeo

  1. Ouça o vídeo inteiro uma vez sem falar e anote as palavras que você não conhece.
  2. Faça shadowing frase por frase na velocidade normal, repetindo cada uma até o seu ritmo ficar igual ao do falante.
  3. Grave a sua voz e compare com o original, prestando atenção a palavras como robot, artificial, emotion.

O que é a Técnica de Shadowing?

Shadowing é uma técnica de aprendizado de idiomas com base científica, originalmente desenvolvida para o treinamento de intérpretes profissionais. O método é simples, mas poderoso: você ouve áudio em inglês nativo e repete imediatamente em voz alta — como uma sombra seguindo o falante com 1-2 segundos de atraso. Pesquisas mostram melhora significativa na precisão da pronúncia, entonação, ritmo, sons conectados, compreensão auditiva e fluência na fala.

Técnica de shadowing: leia o guia completo passo a passo →