Foram encontradas 680 questões.
2725792
Ano: 2023
Disciplina: Inglês (Língua Inglesa)
Banca: CESPE / CEBRASPE
Orgão: Pref. Recife-PE
Disciplina: Inglês (Língua Inglesa)
Banca: CESPE / CEBRASPE
Orgão: Pref. Recife-PE
Provas:
Text 7A1
Artificial intelligence still has difficulties processing
requests in one language, without the additional complications of
translation. Michael Housman, chief data science officer at
RapportBoost.AI, explained that the ideal scenario for machine
learning and artificial intelligence is something with fixed rules
and a clear-cut measure of success or failure. He named chess as
an obvious example. This happened faster than anyone
anticipated because of the game’s very clear rules and limited set
of moves. Housman elaborated, “Language is almost the opposite
of that. There aren’t as clearly-cut and defined rules.”
I asked Dr. Jorge Majfud, Associate Professor of Spanish,
at Jacksonville University, to explain why consistently accurate
language translation has thus far eluded AI. He replied, “The
problem is that considering the ‘entire’ sentence is still not
enough.” He noted that sarcasm and irony only make sense
within this widened context. Similarly, idioms can be
problematic for automated translations.
Dr. Majfud warned, “We should be aware of the fragility
of their ‘interpretation.’ Because to translate is basically to
interpret, not just an idea but a feeling. Human feelings and ideas
that only humans can understand — and sometimes not even we,
humans, understand other humans.” He noted that cultures,
gender, and even age can pose barriers to this understanding and
also contended that an over-reliance on technology is leading to
our cultural and political decline. Dr. Majfud mentioned that
Argentinean writer Julio Cortázar used to refer to dictionaries as
“cemeteries”. He suggested that automatic translators could be
called “zombies”.
David Pring-Mill. Why Hasn’t AI Mastered Language Translation?
Internet:<singularityhub.com> (adapted).
Based on text 7A1, judge the following item.
Dr. Majfud considers that AI will soon be able to interpret full sentences.
Provas
Questão presente nas seguintes provas
2725791
Ano: 2023
Disciplina: Inglês (Língua Inglesa)
Banca: CESPE / CEBRASPE
Orgão: Pref. Recife-PE
Disciplina: Inglês (Língua Inglesa)
Banca: CESPE / CEBRASPE
Orgão: Pref. Recife-PE
Provas:
Text 7A1
Artificial intelligence still has difficulties processing
requests in one language, without the additional complications of
translation. Michael Housman, chief data science officer at
RapportBoost.AI, explained that the ideal scenario for machine
learning and artificial intelligence is something with fixed rules
and a clear-cut measure of success or failure. He named chess as
an obvious example. This happened faster than anyone
anticipated because of the game’s very clear rules and limited set
of moves. Housman elaborated, “Language is almost the opposite
of that. There aren’t as clearly-cut and defined rules.”
I asked Dr. Jorge Majfud, Associate Professor of Spanish,
at Jacksonville University, to explain why consistently accurate
language translation has thus far eluded AI. He replied, “The
problem is that considering the ‘entire’ sentence is still not
enough.” He noted that sarcasm and irony only make sense
within this widened context. Similarly, idioms can be
problematic for automated translations.
Dr. Majfud warned, “We should be aware of the fragility
of their ‘interpretation.’ Because to translate is basically to
interpret, not just an idea but a feeling. Human feelings and ideas
that only humans can understand — and sometimes not even we,
humans, understand other humans.” He noted that cultures,
gender, and even age can pose barriers to this understanding and
also contended that an over-reliance on technology is leading to
our cultural and political decline. Dr. Majfud mentioned that
Argentinean writer Julio Cortázar used to refer to dictionaries as
“cemeteries”. He suggested that automatic translators could be
called “zombies”.
David Pring-Mill. Why Hasn’t AI Mastered Language Translation?
Internet:<singularityhub.com> (adapted).
Based on text 7A1, judge the following item.
According to Dr. Majfud, we have a positive cultural future if we trust technology.
Provas
Questão presente nas seguintes provas
2725790
Ano: 2023
Disciplina: Inglês (Língua Inglesa)
Banca: CESPE / CEBRASPE
Orgão: Pref. Recife-PE
Disciplina: Inglês (Língua Inglesa)
Banca: CESPE / CEBRASPE
Orgão: Pref. Recife-PE
Provas:
Text 7A1
Artificial intelligence still has difficulties processing
requests in one language, without the additional complications of
translation. Michael Housman, chief data science officer at
RapportBoost.AI, explained that the ideal scenario for machine
learning and artificial intelligence is something with fixed rules
and a clear-cut measure of success or failure. He named chess as
an obvious example. This happened faster than anyone
anticipated because of the game’s very clear rules and limited set
of moves. Housman elaborated, “Language is almost the opposite
of that. There aren’t as clearly-cut and defined rules.”
I asked Dr. Jorge Majfud, Associate Professor of Spanish,
at Jacksonville University, to explain why consistently accurate
language translation has thus far eluded AI. He replied, “The
problem is that considering the ‘entire’ sentence is still not
enough.” He noted that sarcasm and irony only make sense
within this widened context. Similarly, idioms can be
problematic for automated translations.
Dr. Majfud warned, “We should be aware of the fragility
of their ‘interpretation.’ Because to translate is basically to
interpret, not just an idea but a feeling. Human feelings and ideas
that only humans can understand — and sometimes not even we,
humans, understand other humans.” He noted that cultures,
gender, and even age can pose barriers to this understanding and
also contended that an over-reliance on technology is leading to
our cultural and political decline. Dr. Majfud mentioned that
Argentinean writer Julio Cortázar used to refer to dictionaries as
“cemeteries”. He suggested that automatic translators could be
called “zombies”.
David Pring-Mill. Why Hasn’t AI Mastered Language Translation?
Internet:<singularityhub.com> (adapted).
Based on text 7A1, judge the following item.
Even though language is everywhere, its rules are not as exact as in games.
Provas
Questão presente nas seguintes provas
2725789
Ano: 2023
Disciplina: Inglês (Língua Inglesa)
Banca: CESPE / CEBRASPE
Orgão: Pref. Recife-PE
Disciplina: Inglês (Língua Inglesa)
Banca: CESPE / CEBRASPE
Orgão: Pref. Recife-PE
Provas:
Text 7A1
Artificial intelligence still has difficulties processing
requests in one language, without the additional complications of
translation. Michael Housman, chief data science officer at
RapportBoost.AI, explained that the ideal scenario for machine
learning and artificial intelligence is something with fixed rules
and a clear-cut measure of success or failure. He named chess as
an obvious example. This happened faster than anyone
anticipated because of the game’s very clear rules and limited set
of moves. Housman elaborated, “Language is almost the opposite
of that. There aren’t as clearly-cut and defined rules.”
I asked Dr. Jorge Majfud, Associate Professor of Spanish,
at Jacksonville University, to explain why consistently accurate
language translation has thus far eluded AI. He replied, “The
problem is that considering the ‘entire’ sentence is still not
enough.” He noted that sarcasm and irony only make sense
within this widened context. Similarly, idioms can be
problematic for automated translations.
Dr. Majfud warned, “We should be aware of the fragility
of their ‘interpretation.’ Because to translate is basically to
interpret, not just an idea but a feeling. Human feelings and ideas
that only humans can understand — and sometimes not even we,
humans, understand other humans.” He noted that cultures,
gender, and even age can pose barriers to this understanding and
also contended that an over-reliance on technology is leading to
our cultural and political decline. Dr. Majfud mentioned that
Argentinean writer Julio Cortázar used to refer to dictionaries as
“cemeteries”. He suggested that automatic translators could be
called “zombies”.
David Pring-Mill. Why Hasn’t AI Mastered Language Translation?
Internet:<singularityhub.com> (adapted).
Based on text 7A1, judge the following item.
Michael Housman explains that, for machines, it is easier to translate than to play chess.
Provas
Questão presente nas seguintes provas
2725788
Ano: 2023
Disciplina: Inglês (Língua Inglesa)
Banca: CESPE / CEBRASPE
Orgão: Pref. Recife-PE
Disciplina: Inglês (Língua Inglesa)
Banca: CESPE / CEBRASPE
Orgão: Pref. Recife-PE
Provas:
Text 7A1
Artificial intelligence still has difficulties processing
requests in one language, without the additional complications of
translation. Michael Housman, chief data science officer at
RapportBoost.AI, explained that the ideal scenario for machine
learning and artificial intelligence is something with fixed rules
and a clear-cut measure of success or failure. He named chess as
an obvious example. This happened faster than anyone
anticipated because of the game’s very clear rules and limited set
of moves. Housman elaborated, “Language is almost the opposite
of that. There aren’t as clearly-cut and defined rules.”
I asked Dr. Jorge Majfud, Associate Professor of Spanish,
at Jacksonville University, to explain why consistently accurate
language translation has thus far eluded AI. He replied, “The
problem is that considering the ‘entire’ sentence is still not
enough.” He noted that sarcasm and irony only make sense
within this widened context. Similarly, idioms can be
problematic for automated translations.
Dr. Majfud warned, “We should be aware of the fragility
of their ‘interpretation.’ Because to translate is basically to
interpret, not just an idea but a feeling. Human feelings and ideas
that only humans can understand — and sometimes not even we,
humans, understand other humans.” He noted that cultures,
gender, and even age can pose barriers to this understanding and
also contended that an over-reliance on technology is leading to
our cultural and political decline. Dr. Majfud mentioned that
Argentinean writer Julio Cortázar used to refer to dictionaries as
“cemeteries”. He suggested that automatic translators could be
called “zombies”.
David Pring-Mill. Why Hasn’t AI Mastered Language Translation?
Internet:<singularityhub.com> (adapted).
Based on text 7A1, judge the following item.
Despite the advances in technology, translation is still a difficult task for artificial intelligence.
Provas
Questão presente nas seguintes provas
No que se refere a letramento matemático e modelagem matemática, julgue o item seguinte.
Modelagem matemática é a criação e o desenvolvimento de uma explicação padrão, por meio de uma expressão ou equação, para se explicar e compreender situações-problema do mundo real.
Provas
Questão presente nas seguintes provas
O chamado último teorema de Fermat afirma que, dado
um número natural n ≥ 3, então não existem números inteiros
positivos x, y e z soluções da equação x
n
+ yn
= zn
.
A partir das informações apresentadas, julgue o item seguinte.
Os números complexos surgiram como solução para equações do segundo grau e durante muito tempo acreditou-se que eles fossem inúteis, até que foram utilizados, por exemplo, como ferramentas na engenharia, em estudos de circuitos elétricos de correntes alternadas.
A partir das informações apresentadas, julgue o item seguinte.
Os números complexos surgiram como solução para equações do segundo grau e durante muito tempo acreditou-se que eles fossem inúteis, até que foram utilizados, por exemplo, como ferramentas na engenharia, em estudos de circuitos elétricos de correntes alternadas.
Provas
Questão presente nas seguintes provas
Em uma sala de aula há 30 estudantes. 20 desses estudantes moram na zona urbana e os outros 10 moram na zona rural.
Com base nessa situação hipotética, julgue o item a seguir.
Se dois estudantes forem aleatoriamente escolhidos nessa turma, então a probabilidade de pelo menos um deles ser da zona rural é inferior a 5/9.
Com base nessa situação hipotética, julgue o item a seguir.
Se dois estudantes forem aleatoriamente escolhidos nessa turma, então a probabilidade de pelo menos um deles ser da zona rural é inferior a 5/9.
Provas
Questão presente nas seguintes provas
Em uma sala de aula há 30 estudantes. 20 desses estudantes moram na zona urbana e os outros 10 moram na zona rural.
Com base nessa situação hipotética, julgue o item a seguir.
Se dois estudantes forem aleatoriamente escolhidos nessa turma, então a probabilidade dos dois estudantes serem da zona urbana é menor que 1/2.
Com base nessa situação hipotética, julgue o item a seguir.
Se dois estudantes forem aleatoriamente escolhidos nessa turma, então a probabilidade dos dois estudantes serem da zona urbana é menor que 1/2.
Provas
Questão presente nas seguintes provas
Em uma sala de aula há 30 estudantes. 20 desses estudantes moram na zona urbana e os outros 10 moram na zona rural.
Com base nessa situação hipotética, julgue o item a seguir.
Caso, em um conjunto com 30 estudantes, 12 estudantes gostem de matemática, 15 estudantes gostem de geografia e 7 estudantes gostem de matemática e geografia, então a probabilidade de um estudante selecionado ao acaso gostar de matemática ou de geografia será igual a 2/3.
Com base nessa situação hipotética, julgue o item a seguir.
Caso, em um conjunto com 30 estudantes, 12 estudantes gostem de matemática, 15 estudantes gostem de geografia e 7 estudantes gostem de matemática e geografia, então a probabilidade de um estudante selecionado ao acaso gostar de matemática ou de geografia será igual a 2/3.
Provas
Questão presente nas seguintes provas
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