How exactly does binary code work? - José Américo N L F de Freitas

1,375,955 views ・ 2018-07-12

TED-Ed


Please double-click on the English subtitles below to play the video.

Translator: Reviewer: Daban Q. Jaff
00:06
Imagine trying to use words to describe every scene in a film,
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every note in your favorite song,
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or every street in your town.
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Now imagine trying to do it using only the numbers 1 and 0.
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Every time you use the Internet to watch a movie,
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listen to music,
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or check directions,
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that’s exactly what your device is doing,
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using the language of binary code.
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Computers use binary because it's a reliable way of storing data.
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For example, a computer's main memory is made of transistors
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that switch between either high or low voltage levels,
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such as 5 volts and 0 volts.
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Voltages sometimes oscillate, but since there are only two options,
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a value of 1 volt would still be read as "low."
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That reading is done by the computer’s processor,
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which uses the transistors’ states to control other computer devices
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according to software instructions.
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The genius of this system is that a given binary sequence
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doesn't have a pre-determined meaning on its own.
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Instead, each type of data is encoded in binary
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according to a separate set of rules.
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Let’s take numbers.
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In normal decimal notation,
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each digit is multiplied by 10 raised to the value of its position,
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starting from zero on the right.
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So 84 in decimal form is 4x10⁰ + 8x10¹.
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Binary number notation works similarly,
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but with each position based on 2 raised to some power.
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So 84 would be written as follows:
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Meanwhile, letters are interpreted based on standard rules like UTF-8,
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which assigns each character to a specific group of 8-digit binary strings.
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In this case, 01010100 corresponds to the letter T.
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So, how can you know whether a given instance of this sequence
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is supposed to mean T or 84?
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Well, you can’t from seeing the string alone
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– just as you can’t tell what the sound "da" means from hearing it in isolation.
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You need context to tell whether you're hearing Russian, Spanish, or English.
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And you need similar context
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to tell whether you’re looking at binary numbers or binary text.
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Binary code is also used for far more complex types of data.
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Each frame of this video, for instance,
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is made of hundreds of thousands of pixels.
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In color images,
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every pixel is represented by three binary sequences
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that correspond to the primary colors.
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Each sequence encodes a number
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that determines the intensity of that particular color.
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Then, a video driver program transmits this information
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to the millions of liquid crystals in your screen
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to make all the different hues you see now.
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The sound in this video is also stored in binary,
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with the help of a technique called pulse code modulation.
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Continuous sound waves are digitized
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by taking "snapshots" of their amplitudes every few milliseconds.
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These are recorded as numbers in the form of binary strings,
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with as many as 44,000 for every second of sound.
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When they’re read by your computer’s audio software,
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the numbers determine how quickly the coils in your speakers should vibrate
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to create sounds of different frequencies.
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All of this requires billions and billions of bits.
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But that amount can be reduced through clever compression formats.
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For example, if a picture has 30 adjacent pixels of green space,
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they can be recorded as "30 green" instead of coding each pixel separately -
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a process known as run-length encoding.
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These compressed formats are themselves written in binary code.
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So is binary the end-all-be-all of computing?
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Not necessarily.
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There’s been research into ternary computers,
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with circuits in three possible states,
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and even quantum computers,
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whose circuits can be in multiple states simultaneously.
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But so far, none of these has provided
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as much physical stability for data storage and transmission.
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So for now, everything you see,
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hear,
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and read through your screen
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comes to you as the result of a simple "true" or "false" choice,
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made billions of times over.
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