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Pick the correct word to fill in the gap
Fill In The Blank
Find the missing words in a sentence Requires 5 vocabulary annotations
Vocabulary Match
Match the words to the definitions Requires 10 vocabulary annotations

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We couldn't find definitions for the word you were looking for.
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  • 00:03

    You’re given a time limit and a word to doodle as fast as you can, while someone’s
    You’re given a time limit and a word to doodle as fast as you can, while someone’s

  • 00:07

    shouting out guesses as to what those vaguely-recognizable lines might be.
    shouting out guesses as to what those vaguely-recognizable lines might be.

  • 00:11

    This could be an intense game of Pictionary or … Google’s Quick, Draw!
    This could be an intense game of Pictionary or … Google’s Quick, Draw!

  • 00:15

    Instead of a person trying to guess what you’re drawing, though, the other player in Quick,
    Instead of a person trying to guess what you’re drawing, though, the other player in Quick,

  • 00:19

    Draw! is an artificial intelligence.
    Draw! is an artificial intelligence.

  • 00:21

    It seems to be one of the Internet’s favorite time-wasters this past week, but it’s also
    It seems to be one of the Internet’s favorite time-wasters this past week, but it’s also

  • 00:25

    teaching us about the way machines can learn.
    teaching us about the way machines can learn.

  • 00:28

    Here’s how the game works: it prompts you to draw something in under 20 seconds.
    Here’s how the game works: it prompts you to draw something in under 20 seconds.

  • 00:32

    Some are easy, like a paper clip.
    Some are easy, like a paper clip.

  • 00:34

    But others are harder, like animal migration.
    But others are harder, like animal migration.

  • 00:36

    The AI guesses what you’re drawing, and it’s scarily good, even though doodles are
    The AI guesses what you’re drawing, and it’s scarily good, even though doodles are

  • 00:40

    one of those things that are easier for humans to understand than computers.
    one of those things that are easier for humans to understand than computers.

  • 00:44

    Like, your shoe drawing might look totally different from my shoe drawing, but our human
    Like, your shoe drawing might look totally different from my shoe drawing, but our human

  • 00:48

    brains can understand both of them as shoes.
    brains can understand both of them as shoes.

  • 00:51

    You have to /teach/ a computer to recognize this sort of essential “shoe-ness.”
    You have to /teach/ a computer to recognize this sort of essential “shoe-ness.”

  • 00:55

    And that’s exactly what Quick, Draw! is doing.
    And that’s exactly what Quick, Draw! is doing.

  • 00:58

    It’s a neural network – a computing system that can learn in a way that mimics the human
    It’s a neural network – a computing system that can learn in a way that mimics the human

  • 01:02

    brain.
    brain.

  • 01:03

    Our brains are made up of billions of cells called neurons, which send signals to each
    Our brains are made up of billions of cells called neurons, which send signals to each

  • 01:06

    other and are interconnected in a really complex pattern.
    other and are interconnected in a really complex pattern.

  • 01:09

    Instead of being made of neurons, neural networks are made of a bunch of individual computing
    Instead of being made of neurons, neural networks are made of a bunch of individual computing

  • 01:14

    units, or nodes, that work together and are usually set up in layers.
    units, or nodes, that work together and are usually set up in layers.

  • 01:18

    The first layer receives inputs, and passes decisions based on certain parameters, or
    The first layer receives inputs, and passes decisions based on certain parameters, or

  • 01:23

    rules, onto the middle units, also known as hidden units.
    rules, onto the middle units, also known as hidden units.

  • 01:26

    And these pass on more decisions, until the last layer spits out an output.
    And these pass on more decisions, until the last layer spits out an output.

  • 01:30

    In Quick, Draw!’s case, that’s guessing what your doodle is.
    In Quick, Draw!’s case, that’s guessing what your doodle is.

  • 01:33

    So, Let’s say the game told you to draw a shoe.
    So, Let’s say the game told you to draw a shoe.

  • 01:35

    The input is your drawing, and the desired output is for the AI to figure out that it’s
    The input is your drawing, and the desired output is for the AI to figure out that it’s

  • 01:40

    a shoe.
    a shoe.

  • 01:41

    So, the neural network looks at every example it has of a shoe to come up with a pattern
    So, the neural network looks at every example it has of a shoe to come up with a pattern

  • 01:45

    of what a shoe should be.
    of what a shoe should be.

  • 01:47

    Then, it makes a guess.
    Then, it makes a guess.

  • 01:48

    Did the AI say shoe?
    Did the AI say shoe?

  • 01:50

    Or did it say crocodile?
    Or did it say crocodile?

  • 01:51

    Based on whether it was right or wrong, the AI can actually refine its decision-making
    Based on whether it was right or wrong, the AI can actually refine its decision-making

  • 01:56

    process.
    process.

  • 01:57

    Each node comes with a multiplier called a weight, which specifies how important the
    Each node comes with a multiplier called a weight, which specifies how important the

  • 02:01

    outcome of a decision is.
    outcome of a decision is.

  • 02:02

    Like, is it more important that a shoe drawing has laces?
    Like, is it more important that a shoe drawing has laces?

  • 02:05

    Or that it has a sole?
    Or that it has a sole?

  • 02:06

    Either way, the program now has one more example of what a shoe should look like.
    Either way, the program now has one more example of what a shoe should look like.

  • 02:10

    It keeps learning through feedback and training, just like we do.
    It keeps learning through feedback and training, just like we do.

  • 02:13

    And that’s the wild part: you don’t have to program a neural net to know exactly what
    And that’s the wild part: you don’t have to program a neural net to know exactly what

  • 02:18

    an aircraft carrier looks like.
    an aircraft carrier looks like.

  • 02:20

    Starting from a set of a few thousand doodles, the network teaches itself, which is what’s
    Starting from a set of a few thousand doodles, the network teaches itself, which is what’s

  • 02:24

    called machine learning.
    called machine learning.

  • 02:25

    Quick, Draw! works kind of like the Google AIs that recognize and translate handwriting,
    Quick, Draw! works kind of like the Google AIs that recognize and translate handwriting,

  • 02:30

    by shape, and the way you draw the strokes.
    by shape, and the way you draw the strokes.

  • 02:32

    And it’s one of many AI things Google recently put online for people to play with.
    And it’s one of many AI things Google recently put online for people to play with.

  • 02:37

    For fun, to train the neural networks, and to inspire people to try their own machine
    For fun, to train the neural networks, and to inspire people to try their own machine

  • 02:41

    learning experiments.
    learning experiments.

  • 02:42

    So give Quick, Draw! a try, if you haven’t already!
    So give Quick, Draw! a try, if you haven’t already!

  • 02:45

    We put a link in the description.
    We put a link in the description.

  • 02:47

    Now, sometimes both computers and us humans need a while to gather data – especially
    Now, sometimes both computers and us humans need a while to gather data – especially

  • 02:51

    when it comes to understanding the Earth’s atmosphere.
    when it comes to understanding the Earth’s atmosphere.

  • 02:53

    A study published this week in the journal Nature Geoscience looked at around 80 years
    A study published this week in the journal Nature Geoscience looked at around 80 years

  • 02:58

    of atmospheric carbon dioxide levels, and found that cement actually absorbs CO2 over
    of atmospheric carbon dioxide levels, and found that cement actually absorbs CO2 over

  • 03:04

    time.
    time.

  • 03:05

    Cement is pretty important stuff.
    Cement is pretty important stuff.

  • 03:06

    It’s used in concrete, and mortar, and really most of the grayish stuff where pigeons perch
    It’s used in concrete, and mortar, and really most of the grayish stuff where pigeons perch

  • 03:10

    in major cities.
    in major cities.

  • 03:11

    But producing it releases a lot of carbon dioxide into the atmosphere.
    But producing it releases a lot of carbon dioxide into the atmosphere.

  • 03:15

    In fact, cement production accounted for 5% of industrial and fossil fuel CO2 emissions
    In fact, cement production accounted for 5% of industrial and fossil fuel CO2 emissions

  • 03:21

    in 2013.
    in 2013.

  • 03:22

    See, cement is made from limestone, a type of rock that’s mostly calcium carbonate.
    See, cement is made from limestone, a type of rock that’s mostly calcium carbonate.

  • 03:26

    Limestone is refined to produce calcium oxide, or quicklime, for cement, in a reaction known
    Limestone is refined to produce calcium oxide, or quicklime, for cement, in a reaction known

  • 03:31

    as calcination, which releases a lot of carbon in the form of CO2.
    as calcination, which releases a lot of carbon in the form of CO2.

  • 03:35

    Not to mention, some CO2 escapes from burning fossil fuels to provide energy for the reaction.
    Not to mention, some CO2 escapes from burning fossil fuels to provide energy for the reaction.

  • 03:40

    But here’s the thing about chemistry: most reactions can go in either direction.
    But here’s the thing about chemistry: most reactions can go in either direction.

  • 03:45

    And the opposite of calcification is carbonation.
    And the opposite of calcification is carbonation.

  • 03:47

    Over time, some CO2 from the atmosphere drifts into all that cement in buildings and bridges,
    Over time, some CO2 from the atmosphere drifts into all that cement in buildings and bridges,

  • 03:53

    and reacts with the calcium oxide to form calcium carbonate again.
    and reacts with the calcium oxide to form calcium carbonate again.

  • 03:56

    The researchers estimate that 43% of the CO2 that initially escaped during cement production
    The researchers estimate that 43% of the CO2 that initially escaped during cement production

  • 04:02

    from 1930 to 2013 has been sucked back into our concrete jungles.
    from 1930 to 2013 has been sucked back into our concrete jungles.

  • 04:07

    But that 43% only includes the carbon dioxide directly from the cement production, not the
    But that 43% only includes the carbon dioxide directly from the cement production, not the

  • 04:12

    fossil fuel emissions.
    fossil fuel emissions.

  • 04:14

    So cement still has a huge carbon footprint.
    So cement still has a huge carbon footprint.

  • 04:17

    This just makes it a little smaller, because the longer our high-rises stand, the more
    This just makes it a little smaller, because the longer our high-rises stand, the more

  • 04:21

    CO2 they might re-absorb.
    CO2 they might re-absorb.

  • 04:22

    Thanks for watching this episode of SciShow News, and a very special thanks to our President
    Thanks for watching this episode of SciShow News, and a very special thanks to our President

  • 04:27

    of Space Mitch A. Nelson.
    of Space Mitch A. Nelson.

  • 04:29

    Mitch feels that "SciShow is making science popular and helping move the cultural emphasis
    Mitch feels that "SciShow is making science popular and helping move the cultural emphasis

  • 04:34

    from politics and division to one of science and progress."
    from politics and division to one of science and progress."

  • 04:37

    If you would like to be our President of Space and help support SciShow, go to patreon.com/scishow
    If you would like to be our President of Space and help support SciShow, go to patreon.com/scishow

  • 04:44

    and don’t forget to go to youtube.com/scishow and subscribe!
    and don’t forget to go to youtube.com/scishow and subscribe!

All verb
doodle
/ˈdo͞odl/

word

scribble absent-mindedly

Quick, Draw!: Doodling for Science

162,359 views

Intro:

You’re given a time limit and a word to doodle as fast as you can, while someone’s
shouting out guesses as to what those vaguely-recognizable lines might be.
This could be an intense game of Pictionary or … Google’s Quick, Draw!
Instead of a person trying to guess what you’re drawing, though, the other player in Quick,
Draw! is an artificial intelligence.. It seems to be one of the Internet’s favorite time-wasters this past week, but it’s also
teaching us about the way machines can learn.. Here’s how the game works: it prompts you to draw something in under 20 seconds.
Some are easy, like a paper clip.. But others are harder, like animal migration.. The AI guesses what you’re drawing, and it’s scarily good, even though doodles are
one of those things that are easier for humans to understand than computers.
Like, your shoe drawing might look totally different from my shoe drawing, but our human
brains can understand both of them as shoes.. You have to /teach/ a computer to recognize this sort of essential “shoe-ness.”
And that’s exactly what Quick, Draw! is doing.. It’s a neural network – a computing system that can learn in a way that mimics the human
brain.. Our brains are made up of billions of cells called neurons, which send signals to each
other and are interconnected in a really complex pattern.

Video Vocabulary

/ˈsiɡnəl/

noun other verb

gesture, action, or sound that is used to convey information or instructions. Movements of your hand/other means to send messages. To send a message using your hands or other means.

/präm(p)t/

noun other verb

act of prompting speaker. Encouragements to ask someone else to talk. To remind an actor of his or her lines (words).

/ˈtēCHiNG/

noun verb

The act of helping people learn. To help someone learn or do something.

/ˈskerəlē/

adverb

in way that causes fear.

/ˈdif(ə)rənt/

adjective

not same as another or each other.

/inˈsted/

adverb

as alternative or substitute.

/əˈsen(t)SHəl/

adjective noun

Extremely or most important and necessary. necessary thing.

/dəˈsiZHən/

noun other

conclusion or resolution reached after consideration. Choices made after thinking; final judgment.

adjective noun verb

Not being simple; having many parts or aspects. group of buildings or facilities. cause to form complex.

/kəmˈpyo͞odər/

noun

Machine for storing data, accessing the internet.

/SHout/

verb

To speak very loudly to get attention.

/rəˈsēv/

verb

To welcome someone as a guest into your home.

/ˈbilyən/

noun number

1000 million. thousand million.

/ˌəndərˈstand/

verb

To know the meaning of language, what someone says.