Answer:
metaphor
Explanation:
honestly if the option is there say personification
Answer:
1. (i) only the first one
2. could
3. were able to
4. Am I allowed to
5. May I
6. mightn't
7. must
8. should
9. mind
10. Could you please pass that book to me?
11. shall
12. would
13. could
14. mustn't
hope it helps!
Answer: the answer is increasingly complex, and depends on definitions in flux. Computers are certainly more adept at solving quandaries that benefit from their unique skillset, but humans hold the edge on tasks that machines simply can’t perform. Not yet, anyway.
Computers can take in and process certain kinds of information much faster than we can. They can swirl that data around in their “brains,” made of processors, and perform calculations to conjure multiple scenarios at superhuman speeds. For example, the best chess-trained computers can at this point strategize many moves ahead, problem-solving far more deftly than can the best chess-playing humans. Computers learn much more quickly, too, narrowing complex choices to the most optimal ones. Yes, humans also learn from mistakes, but when it comes to tackling the kinds of puzzles computers excel at, we’re far more fallible
Computers enjoy other advantages over people. They have better memories, so they can be fed a large amount of information, and can tap into all of it almost instantaneously. Computers don’t require sleep the way humans do
Explanation:
The rule is obviously unconstitutional. Segregation by race is
contrary to the phrase “All men are created equal” in the U.S Declaration of
Independence and U.S Constitution. Well, the Plessy v. Ferguson just upended
that, which decided that segregation laws are okay as long as there were equal
in quality. The <span>Brown v. Board of Education stated that </span>separate educational facilities are inherently unequal,
almost effectively nulling the racist rule.
