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erma4kov [3.2K]
2 years ago
15

Discuss 5 ways in which computer has influence typography and lettering​

Computers and Technology
1 answer:
vfiekz [6]2 years ago
6 0

Answer:

Five ways in which computer has affected typography and lettering are discussed below;

1. <u>Introduction of unconventional typeface</u>: Computers have introduced unconventional typeface texts to typography and lettering by offering a wide range of typeface and fonts that the user can choose from, depending on the type of typing job at hand. Some of these fonts are suitable for aesthetic purpose, and some have official rating. These fonts and type faces range from the Times New Roman, Gothic, Serif, etc.

2. <u>Size and legibility</u>: Computers now allows different sizes of character sizes in typography. These sizes can be chosen easily to suite the degree of readability of the intended message.

3. <u>Specialization</u>: Computer has opened up typography and lettering to lay users and people not specialized in typography. Prior to the digital age, typing jobs were limited to specialist typists who have been trained in typography. Nowadays, anybody with access to a computer can easily learn solo, and be employed as a typist.

4. <u>General layout</u>: The arrangement and layout of text and lettering in typing can now be easily manipulated with a computer, by just selecting from a wide choice of arrangement available on the typing platform.

5. <u>Minimization of errors</u>: The use of computer in typography and lettering has greatly reduced the incidence and occurrence of error in typing. Most computers have built in prediction tools, and auto-correcting software that reduces and sometimes prevent grammatical and spelling errors.

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2 years ago
1. How many bits would you need to address a 2M × 32 memory if:
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Answer:

  1. a) 23       b) 21
  2. a) 43        b) 42
  3. a) 0          b) 0

Explanation:

<u>1) How many bits is needed to address a 2M * 32 memory </u>

2M = 2^1*2^20, while item =32 bit long word

hence ; L = 2^21 ; w = 32

a) when the memory is byte addressable

w = 8;  L = ( 2M * 32 ) / 8 =  2M * 4

hence number of bits =  log2(2M * 4)= log2 ( 2 * 2^20 * 2^2 ) = 23 bits

b) when the memory is word addressable

W = 32 ; L = ( 2M * 32 )/ 32 = 2M

hence the number of bits = log2 ( 2M ) = Log2 (2 * 2^20 ) = 21 bits

<u>2) How many bits are required to address a 4M × 16 main memory</u>

4M = 4^1*4^20 while item = 16 bit long word

hence L ( length ) = 4^21 ; w = 16

a) when the memory is byte addressable

w = 8 ; L = ( 4M * 16 ) / 8 = 4M * 2

hence number of bits = log 2 ( 4M * 2 ) = log 2 ( 4^1*4^20*2^1 ) ≈ 43 bits

b) when the memory is word addressable

w = 16 ; L = ( 4M * 16 ) / 16 = 4M

hence number of bits = log 2 ( 4M ) = log2 ( 4^1*4^20 ) ≈ 42 bits

<u>3) How many bits are required to address a 1M * 8 main memory </u>

1M = 1^1 * 1^20 ,  item = 8

L = 1^21 ; w = 8

a) when the memory is byte addressable

w = 8 ; L = ( 1 M * 8 ) / 8 = 1M

hence number of bits = log 2 ( 1M ) = log2 ( 1^1 * 1^20 ) = 0 bit

b) when memory is word addressable

w = 8 ; L = ( 1 M * 8 ) / 8 = 1M

number of bits = 0

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The structure of neuromorphic computers makes them much more efficient at training and running neural networks. They can run AI models at a faster speed than equivalent CPUs and GPUs while consuming less power. This is important since power consumption is already one of AI's essential challenges.

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