Shadowing-Übung: What Is AI? | Artificial Intelligence | What is Artificial Intelligence? | AI In 5 Mins |Simplilearn - Englisch Sprechen Lernen mit 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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Wortschatz und Sprechhinweise zu dieser Lektion

Diese Wörter kommen am häufigsten vor: robot, learning, machine, intelligence, Alexa. Dieses Video enthält 63 Sätze und 761 Wörter zum Nachsprechen. Der gesprochene Teil dauert 5:11. Der Sprecher spricht gleichmäßig mit etwa 147 Wörtern pro Minute – ein angenehmes Tempo fürs Shadowing. Nur 77 % der Wörter gehören zu den 3.000 häufigsten im Englischen, der Wortschatz ist also anspruchsvoll.

Wichtiger Wortschatz in diesem Video

15 lernenswerte Wörter aus dem Video, mit Aussprache und Bedeutung:

WortAusspracheBedeutung
robot Substantiv/ˈɹoʊ.bɑt/Roboter
artificial Adjektiv/ˌɑː.tɪˈfɪʃ.əl/künstlich
emotion Substantiv/ɪˈməʊ.ʃən/Gefühl, Empfindung f Emotion
capability Substantiv/ˌkeɪ.pəˈbɪl.ɪ.ti/Fähigkeit, Fertigkeit
predict Verb/pɹɪˈdɪkt/prophezeien
algorithm Substantiv/ˈælɡəɹɪðm̩/Algorithmus
technique Substantiv/tɛkˈniːk/Technik
mystery Substantiv/ˈmɪs.t(ə.)ɹi/Geheimnis, Rätsel
fiction Substantiv/ˈfɪkʃən/Fiktion, Belletristik
ideal Adjektiv/aɪˈdi(ə)l/ideal, bestmöglich
solve Verb/sɒlv/lösen
aspect Substantiv/ˈæspɛkt/Aspekt
narrow Adjektiv/ˈnæɹəʊ/eng, begrenzt
landscape Substantiv/ˈlan(d)skeɪp/Landschaft
domain Substantiv/ˌdəʊˈmeɪ̯n/Domäne, Gebiet

Phrasal Verbs, die du hören wirst

WortBedeutung
pick up Verbaufheben, aufnehmen

Aussprache, auf die du achten solltest

Der Sprecher verwendet 4 Kurzformen und abgeschwächte Formen, zum Beispiel can't, doesn't, don't. Sprich sie in der kurzen Form, so wie du sie hörst.

  • Die „th“-Laute: algorithm /ˈælɡəɹɪðm̩/, mathematical /ˌmæθ(.ə)ˈmæt.ɪ.kəl/
  • Die Laute „sh“ und „zh“: artificial /ˌɑː.tɪˈfɪʃ.əl/, emotion /ɪˈməʊ.ʃən/, fiction /ˈfɪkʃən/, citizenship /ˈsɪtɪzənʃɪp/, variation /ˌvɛəɹiˈeɪʃn̩/
  • Lange Wörter – auf die Betonung achten: artificial /ˌɑː.tɪˈfɪʃ.əl/, capability /ˌkeɪ.pəˈbɪl.ɪ.ti/, intelligent /ɪnˈtɛlɪd͡ʒənt/, citizenship /ˈsɪtɪzənʃɪp/, mathematical /ˌmæθ(.ə)ˈmæt.ɪ.kəl/

Laute, die Deutschsprachigen schwerfallen:

  • /w/ — mit runden Lippen, nicht wie das deutsche „w“ (/v/): swim /swɪm/, quiz /kwɪz/
  • Stimmhafter Auslaut — /b/, /d/, /g/, /z/, /v/ am Wortende nicht verhärten: solve /sɒlv/, subscribe /səbˈskɹaɪb/, organize /ˈɔɹɡənaɪz/, quiz /kwɪz/, perceive /pɚˈsiv/
  • /æ/ — offener als „ä“: algorithm /ˈælɡəɹɪðm̩/, aspect /ˈæspɛkt/, narrow /ˈnæɹəʊ/, react /ɹiːˈækt/, enhance /ɪnˈhæns/

So übst du mit diesem Video

  1. Höre dir das ganze Video einmal an, ohne zu sprechen, und notiere die Wörter, die du nicht kennst.
  2. Sprich Satz für Satz in normaler Geschwindigkeit nach und wiederhole jeden, bis dein Rhythmus zum Sprecher passt.
  3. Nimm dich auf und vergleiche mit dem Original; achte dabei auf Wörter wie robot, artificial, emotion.

Was ist die Shadowing-Technik?

Shadowing ist eine wissenschaftlich fundierte Sprachlerntechnik, die ursprünglich für die professionelle Dolmetscherausbildung entwickelt und durch den Polyglotten Dr. Alexander Arguelles populär gemacht wurde. Die Methode ist einfach aber wirkungsvoll: Du hörst englisches Audio von Muttersprachlern und wiederholst es sofort laut — wie ein Schatten, der dem Sprecher mit nur 1–2 Sekunden Verzögerung folgt. Anders als passives Hören oder Grammatikübungen zwingt Shadowing dein Gehirn und deine Mundmuskulatur, gleichzeitig echte Sprachmuster zu verarbeiten und zu reproduzieren. Studien zeigen, dass es Aussprachegenauigkeit, Intonation, Rhythmus, verbundene Sprache, Hörverständnis und Sprechflüssigkeit signifikant verbessert — was es zu einer der effektivsten Methoden für die IELTS Speaking-Vorbereitung und reale englische Kommunikation macht.

Shadowing-Technik: die vollständige Schritt-für-Schritt-Anleitung lesen →