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zvonat [6]
2 years ago
8

What is the difference between weak AI and strong AI?

Computers and Technology
1 answer:
Brrunno [24]2 years ago
5 0

Explanation:Strong AI has a complex algorithm that helps it act in different situations, while all the actions in weak AIs are pre-programmed by a human. Strong AI-powered machines have a mind of their own. They can process and make independent decisions, while weak AI-based machines can only simulate human behavior.

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In needs analysis: Group of answer choices the costs of different physical network design alternatives are assessed the rate of
Ludmilka [50]

Answer:

the goal is to understand what users and applications the network will support.

Explanation:

A traditional network design approach is said to follow the structured systems of analysis as well design process that is similar to that which is used in building such applications. The main goal of the application developers is understand and study the needs of the users and also the application which the network will support.

5 0
3 years ago
FIND THE 6 ERRORS IN THIS RESUME 30 POINTS!!!!
babymother [125]
Answer:
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The following is a list of "6 (six) errors" :
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1)  The "city, state, and zip code" should be listed on a separate line, directly following the street address:
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   → Hartford, CT 06114
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2)  In "Objective" section:  The misspelled:  "challenging" should be changed to "challenging".
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3) In the "Objective" section:  The word:  "righting" should be changed to:
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4)  In the "Summary" section:  The misspelled: "addjust" should be changed to:   "adjust" .
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5)  The misspelled "impppeccable" should be changed to "impeccable".
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6)  Perhaps, "drive-thru" should be changed to: "drive-through" ;  but even more importantly— refer to:
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"Managed all staff and ensured hi performance and efficiency" ;
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6 0
3 years ago
Choose the correct line of code.
Naddika [18.5K]
Def_pow_(self,b): if not then I’m sorry
5 0
2 years ago
Asking yourself questions can help you think of what to _____, in order to get answers.
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Ask your self questions can help you think of what to measure, in order to get answers.
8 0
3 years ago
An algorithm whose worst-case time complexity is bounded above by a polynomial function of its size is called a(n)
Sedaia [141]

Answer:

polynomial-bounded algorithms

Explanation:

There are two algorithm complexities and they are time and space complexities. They can be denoted with the big-O notation. The big-o notation for a time and space complexity gets the worst-case time and space respectively.

The time complexity gets the measure of the execution time of an algorithm. When the time function is a polynomial ( k^n + k^n-1 ...) then the algorithm is said to be a polynomial-bounded algorithm.

4 0
2 years ago
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