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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63 משפטים
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1
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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אוצר מילים והערות הגייה לשיעור הזה

המילים שחוזרות הכי הרבה: robot, learning, machine, intelligence, Alexa. בסרטון הזה יש 63 משפטים ו-761 מילים לתרגול Shadowing. הדיבור נמשך 5:11. הדובר שומר על קצב יציב של כ-147 מילים בדקה, קצב נוח לתרגול Shadowing. רק 77% מהמילים נמצאות בין 3,000 המילים הנפוצות ביותר באנגלית, כך שאוצר המילים מאתגר.

אוצר מילים מרכזי בסרטון הזה

15 המילים המתקדמות ביותר בסרטון, עם ההגייה והמשמעות שלהן:

מילההגייהמשמעות
algorithm שם עצם/ˈælɡəɹɪðm̩/אַלגוֹרִיתְם
cupboard שם עצם/ˈkʌb.əd/ארון, ארונית
cyborg שם עצם/ˈsaɪ.boɹɡ/קיבורג
futurist שם תוארעתידני
voucher שם עצם/ˈvaʊt͡ʃə(ɹ)/שׁוֹבָר
subset שם עצם/ˈsʌbˌsɛt/תת קבוצה
circumstance שם עצם/ˈsɝ.kəmˌstæns/נסיבות
unpredictable שם תוארבלתי צפוי
quiz שם עצם/kwɪz/חִידוֹן
chess שם עצם/t͡ʃɛs/שַׁחְמָט
organize פועל/ˈɔɹɡənaɪz/ארגן
inspire פועל/ɪnˈspaɪə(ɹ)/השרה
subscribe פועל/səbˈskɹaɪb/נִמְנָה
dimension שם עצם/daɪˈmɛn.ʃən/מֵמַד
mathematical שם תואר/ˌmæθ(.ə)ˈmæt.ɪ.kəl/מָתֵמָטִי

Phrasal verbs שתשמעו

מילהמשמעות
pick up פועלהרים, אסף

הגייה ששווה לשים לב אליה

הדובר משתמש ב-4 קיצורים וצורות מקוצרות, כמו can't, doesn't, don't. אמרו אותם בצורה הקצרה, כפי שאתם שומעים אותם.

  • הצלילים של “th”: algorithm /ˈælɡəɹɪðm̩/, mathematical /ˌmæθ(.ə)ˈmæt.ɪ.kəl/
  • הצלילים של “sh” ו-“zh”: dimension /daɪˈmɛn.ʃən/, variation /ˌvɛəɹiˈeɪʃn̩/
  • מילים ארוכות — שימו לב להטעמה: capability /ˌkeɪ.pəˈbɪl.ɪ.ti/, generalize /ˈd͡ʒɛn.(ə.)ɹə.laɪz/, singularity /ˌsɪŋɡjəˈlæɹətɪ/, incorporate /ɪŋˈkɔɹ.pɚ.eɪt/, mathematical /ˌmæθ(.ə)ˈmæt.ɪ.kəl/

צלילים שדוברי עברית מתקשים בהם:

  • /æ/ — פתוח יותר מה-“אֶ” העברית, לא כמו “a” ב-“cup”: algorithm /ˈælɡəɹɪðm̩/, classify /ˈklæs.əˌfaɪ/, singularity /ˌsɪŋɡjəˈlæɹətɪ/, circumstance /ˈsɝ.kəmˌstæns/, adapt /əˈdæpt/
  • /r/ — הלשון לא נוגעת בשום מקום, לא ה-“ר” הגרונית: algorithm /ˈælɡəɹɪðm̩/, predict /pɹɪˈdɪkt/, cyborg /ˈsaɪ.boɹɡ/, generalize /ˈd͡ʒɛn.(ə.)ɹə.laɪz/, maestro /ˈmaɪstɹoʊ/
  • עיצור קולי בסוף מילה — /b/, /d/, /g/, /z/, /v/ בלי להפוך אותם לאטומים: cupboard /ˈkʌb.əd/, customize /ˈkʌs.tə.maɪ̯z/, cyborg /ˈsaɪ.boɹɡ/, generalize /ˈd͡ʒɛn.(ə.)ɹə.laɪz/, perceive /pɚˈsiv/

איך לתרגל עם הסרטון הזה

  1. הקשיבו לכל הסרטון פעם אחת בלי לדבר, ורשמו את המילים שאתם לא מכירים.
  2. תרגלו Shadowing משפט אחר משפט במהירות רגילה, וחזרו על כל משפט עד שהקצב שלכם תואם את הדובר.
  3. הקליטו את עצמכם והשוו למקור, תוך תשומת לב למילים כמו algorithm, cupboard, cyborg.

מהי טכניקת השאדואינג?

שאדואינג היא טכניקת למידת שפה מבוססת מדע שפותחה במקור להכשרת מתורגמנים מקצועיים ופופולרית על ידי הפוליגלוט ד"ר אלכסנדר ארגואלס. השיטה פשוטה אך עוצמתית: אתה מקשיב לאודיו באנגלית ילידית וחוזר עליו בקול רם מיד — כמו צל העוקב אחרי הדובר עם עיכוב של 1–2 שניות בלבד. בניגוד להאזנה פסיבית או תרגילי דקדוק, שאדואינג מכריח את המוח והשרירים בפה לעבד ולשחזר דפוסי דיבור אמיתיים בו זמנית. מחקרים מראים שזה משפר משמעותית את דיוק ההגייה, האינטונציה, הקצב, הדיבור המחובר, הבנת השמיעה ושטף הדיבור — מה שהופך אותו לאחת השיטות היעילות ביותר להכנה לIELTS Speaking ולתקשורת באנגלית בעולם האמיתי.

טכניקת Shadowing: קרא את המדריך המלא שלב אחר שלב →