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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Woordenschat en spreektips bij deze les

Deze woorden komen het vaakst terug: robot, learning, machine, intelligence, Alexa. Deze video bevat 63 zinnen en 761 woorden om na te spreken. Het gesproken deel duurt 5:11. De spreker praat in een gelijkmatig tempo van ongeveer 147 woorden per minuut, prettig om te shadowen. Slechts 77% van de woorden hoort bij de 3.000 meest gebruikte Engelse woorden, dus de woordenschat is pittig.

Belangrijke woorden in deze video

15 woorden uit de video die het leren waard zijn, met uitspraak en betekenis:

WoordUitspraakBetekenis
robot zelfstandig naamwoord/ˈɹoʊ.bɑt/robot
artificial bijvoeglijk naamwoord/ˌɑː.tɪˈfɪʃ.əl/artificieel, kunstmatig
emotion zelfstandig naamwoord/ɪˈməʊ.ʃən/emotie
predict werkwoord/pɹɪˈdɪkt/voorspellen
algorithm zelfstandig naamwoord/ˈælɡəɹɪðm̩/algoritme
technique zelfstandig naamwoord/tɛkˈniːk/techniek
mystery zelfstandig naamwoord/ˈmɪs.t(ə.)ɹi/mysterie
fiction zelfstandig naamwoord/ˈfɪkʃən/fictie
ideal bijvoeglijk naamwoord/aɪˈdi(ə)l/ideaal, optimaal
solve werkwoord/sɒlv/oplossen
aspect zelfstandig naamwoord/ˈæspɛkt/aspect
narrow bijvoeglijk naamwoord/ˈnæɹəʊ/nauw, smal
landscape zelfstandig naamwoord/ˈlan(d)skeɪp/landschap
domain zelfstandig naamwoord/ˌdəʊˈmeɪ̯n/domein
partly bijwoord/ˈpɑɹtli/deels, gedeeltelijk

Phrasal verbs die je zult horen

WoordBetekenis
pick up werkwoordoppakken, optillen

Uitspraak om op te letten

De spreker gebruikt 4 samentrekkingen en verkorte vormen, zoals can't, doesn't, don't. Spreek ze kort uit, zoals je ze hoort.

  • De “th”-klanken: algorithm /ˈælɡəɹɪðm̩/, mathematical /ˌmæθ(.ə)ˈmæt.ɪ.kəl/
  • De klanken “sh” en “zh”: artificial /ˌɑː.tɪˈfɪʃ.əl/, emotion /ɪˈməʊ.ʃən/, fiction /ˈfɪkʃən/, citizenship /ˈsɪtɪzənʃɪp/, variation /ˌvɛəɹiˈeɪʃn̩/
  • Lange woorden — let op de klemtoon: artificial /ˌɑː.tɪˈfɪʃ.əl/, capability /ˌkeɪ.pəˈbɪl.ɪ.ti/, intelligent /ɪnˈtɛlɪd͡ʒənt/, citizenship /ˈsɪtɪzənʃɪp/, mathematical /ˌmæθ(.ə)ˈmæt.ɪ.kəl/

Klanken die Nederlandstaligen lastig vinden:

  • Stemhebbende eindmedeklinker — /b/, /d/, /g/, /z/, /v/ niet verscherpen: solve /sɒlv/, subscribe /səbˈskɹaɪb/, organize /ˈɔɹɡənaɪz/, quiz /kwɪz/, perceive /pɚˈsiv/
  • /æ/ — opener dan de Nederlandse “e”: algorithm /ˈælɡəɹɪðm̩/, aspect /ˈæspɛkt/, narrow /ˈnæɹəʊ/, react /ɹiːˈækt/, enhance /ɪnˈhæns/
  • /g/ — een harde plofklank, geen Nederlandse “g”: algorithm /ˈælɡəɹɪðm̩/, organize /ˈɔɹɡənaɪz/, cyborg /ˈsaɪ.boɹɡ/, singularity /ˌsɪŋɡjəˈlæɹətɪ/

Zo oefen je met deze video

  1. Luister de hele video één keer zonder te spreken en noteer de woorden die je niet kent.
  2. Spreek zin voor zin na op normale snelheid en herhaal elke zin tot je ritme gelijk is aan dat van de spreker.
  3. Neem jezelf op en vergelijk met het origineel; let daarbij op woorden als robot, artificial, emotion.

Wat is de Shadowing-techniek?

Shadowing is een wetenschappelijk onderbouwde taalleermethode die oorspronkelijk is ontwikkeld voor professionele tolkentraining en gepopulariseerd door polyglot Dr. Alexander Arguelles. De methode is eenvoudig maar krachtig: je luistert naar native Engelse audio en herhaalt het onmiddellijk hardop — als een schaduw die de spreker volgt met slechts 1–2 seconden vertraging. In tegenstelling tot passief luisteren of grammaticadrills, dwingt shadowing je hersenen en mondspieren om echte spraakpatronen tegelijkertijd te verwerken en te reproduceren. Onderzoek toont aan dat het de uitspraaknauwkeurigheid, intonatie, ritme, verbonden spraak, luisterbegrip en spreekvaardigheid aanzienlijk verbetert — waardoor het een van de meest effectieve methoden is voor IELTS Speaking-voorbereiding en echte Engelse communicatie.

Shadowing-techniek: lees de volledige stap-voor-stap-gids →