Questões Militares Sobre inglês
Foram encontradas 4.501 questões
TEXT I
Alexa, What Is There to Know about Love? Brian Bilston Alexa, what is there to know about love? What is there to know about love? A glove is a garment that covers the hand for protection from the cold or dirt and – Alexa, how does a human heart work? How does a human heart work? Blood is first received in the right atrium via two veins, the vena cava superior and inferior – Alexa, where do we go to when we die? Where do we go to when we die? Activating Google Maps. Completed activation. Would you like to start from your current location? Alexa, what does it mean to be alone? What does it mean to be alone? It is the silence left by words unsaid, the cold expanse of half a bed. It is the endless stretching of the hours, the needless tending of plastic flowers. It is an echo unanswered in a cave, the fateful ping of the microwave. It is the fraying of a worn shirt cuff, and the howl – Stop, Alexa. That’s enough.
Available on: https://brianbilston.com/2018/07/23/alexa-what-is-there-toknow-about-love/. Accessed on February 24th, 2025
TEXT II
AI won’t take your job if you know about IA Intelligence augmentation shows that human + AI is an ideal partnership – and the future of white-collar work The less exciting but more likely reality is that the changes AI brings to the workplace will entail upskilling — when workers learn new skills — not reskilling or complete replacement. And upskilling is not about surrendering to AI but instead about mastering intelligence augmentation, or IA, which is what happens when humans and AI work together to accomplish more as a team than either could flying solo. That collaboration is based on the distinction between two concepts: reckoning and judgment. Reckoning vs. Judgment A critical difference between AI and humans is our primary mode of operation. AI operates through what is often referred to as “reckoning,” such as calculative prediction. By that, we mean AI’s true capabilities are grounded in facts and historical knowledge - data that can be calculated, memorized, and repeated. It makes predictions based on what it knows. By contrast, humans operate through judgment or practical wisdom. We understand things AI can’t possibly know. That’s because we humans have lived experiences that continually inform how we see the world. It’s the intangible factors, like ethical considerations and empathetic responses, that make humans better equipped than AI to make complex decisions about human affairs. This practical wisdom is one reason humans must keep creating new things for IA to advance. Imagine what would happen if humans stopped writing original content. The current model of AI could never pass a certain point because it would never encounter new, innovative ideas. Eventually, AI would run out of new ideas to share, and our collective knowledge would stagnate. AI is like moonlight; its ideas come from the reflected sunlight of human insights. Now, it’s essential to recognize that this contrast between AI and humans is nothing to fear. Instead, it shows us why “human + AI” is an ideal work partnership. AI can perform massive calculations in the blink of an eye at a pace far superior to even the most intelligent human on the planet. When paired with a human capable of making quick decisions based on lived experience, judgment, and practical wisdom, it’s an immensely more powerful tool than it is on its own. Adapted from MCCOOL, Chris Dede and David. AI Won’t Take Your Job if You Know About IA. Harvard Graduate School of Education. Available on: https://www.gse.harvard.edu/ideas/news/24/02/ai-wont-take-your-job-ifyou-know-about-ai. Accessed on March 10 th, 2025.
TEXT III
It is possible to say that
Directions: Read text II and answer question.
TEXT II
AI won’t take your job if you know about IA
Intelligence augmentation shows that human + AI is an ideal partnership – and the future of white-collar work
Adapted from MCCOOL, Chris Dede and David. AI Won’t Take Your Job if You Know About IA. Harvard Graduate School of Education. Available on: https://www.gse.harvard.edu/ideas/news/24/02/ai-wont-take-your-job-ifyou-know-about-ai. Accessed on March 10th, 2025.
Directions: Read text II and answer question.
TEXT II
AI won’t take your job if you know about IA
Intelligence augmentation shows that human + AI is an ideal partnership – and the future of white-collar work
Adapted from MCCOOL, Chris Dede and David. AI Won’t Take Your Job if You Know About IA. Harvard Graduate School of Education. Available on: https://www.gse.harvard.edu/ideas/news/24/02/ai-wont-take-your-job-ifyou-know-about-ai. Accessed on March 10th, 2025.
Directions: Read text II and answer question.
TEXT II
AI won’t take your job if you know about IA
Intelligence augmentation shows that human + AI is an ideal partnership – and the future of white-collar work
Adapted from MCCOOL, Chris Dede and David. AI Won’t Take Your Job if You Know About IA. Harvard Graduate School of Education. Available on: https://www.gse.harvard.edu/ideas/news/24/02/ai-wont-take-your-job-ifyou-know-about-ai. Accessed on March 10th, 2025.
Directions: Read text II and answer question.
TEXT II
AI won’t take your job if you know about IA
Intelligence augmentation shows that human + AI is an ideal partnership – and the future of white-collar work
Adapted from MCCOOL, Chris Dede and David. AI Won’t Take Your Job if You Know About IA. Harvard Graduate School of Education. Available on: https://www.gse.harvard.edu/ideas/news/24/02/ai-wont-take-your-job-ifyou-know-about-ai. Accessed on March 10th, 2025.
Mastering transportation cybersecurity: The comprehensive guide
(Adapted from: https://www.souscuscunty.com)
Mastering transportation cybersecurity: The comprehensive guide
(Adapted from: https://www.souscuscunty.com)
Digital networks play a crucial role in ensuring efficient operation of ports and logistics. These systems _____________________ .
Read the excerpts below and choose the correct answer in question.
Data streams from sensors and other sources of information can be used for decision making and enhanced monitoring, control, quality assurance and verification.
To secure efficient, sustainable operations and strengthen short-and-long-term competitiveness, maritime stakeholders need to re-think their current strategies and adapt.
(Adapted from: https://www.dnv.com)
Read the excerpts below and choose the correct answer in question.
Data streams from sensors and other sources of information can be used for decision making and enhanced monitoring, control, quality assurance and verification.
To secure efficient, sustainable operations and strengthen short-and-long-term competitiveness, maritime stakeholders need to re-think their current strategies and adapt.
(Adapted from: https://www.dnv.com)
Read the excerpts below and choose the correct answer in question.
Data streams from sensors and other sources of information can be used for decision making and enhanced monitoring, control, quality assurance and verification.
To secure efficient, sustainable operations and strengthen short-and-long-term competitiveness, maritime stakeholders need to re-think their current strategies and adapt.
(Adapted from: https://www.dnv.com)
I. He has been sailing all day – He must be tired.
II. You must not smoke in enclosed public spaces.
III. I would get another job, if I had more time.
IV. All seafarers must wear Personal Protective Equipment (PPE).
V. You don’t have to wear uniform every day.
VI. I needn’t have to put on this thick coat.
( ) necessity
( ) prohibition
( ) something that is very likely/logical conclusion
The sentences that express the idea of “necessity”, “prohibition” and “something that is very likely/logical conclusion” are, respectively:
Read the text below and choose the correct option in question.
Artificial intelligence
Artificial intelligence (AI) is the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. The term is frequently applied to the project of developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize, or learn from past experience. Since their development in the 1940s, digital computers have been programmed to carry out very complex tasks – such as discovering proofs for mathematical theorems or playing chess – with great proficiency. Despite continuing advances in computer processing speed and memory capacity, there are as yet no programs that can match full human flexibility over wider domains or in tasks requiring much everyday knowledge. On the other hand, some programs have attained the performance levels of human experts and professionals in executing certain specific tasks, so that artificial intelligence in this limited sense is found in applications as diverse as medical diagnosis, computer search engines, voice or handwriting recognition, and chatbots.
All but the simplest human behavior is ascribed to intelligence, while even the most complicated insect behavior is usually not taken as an indication of intelligence. What is the difference? Consider the behavior of the digger wasp, Sphex ichneumoneus. When the female wasp returns to her burrow with food, she first deposits it on the threshold, checks for intruders inside her burrow, and only then, if the coast is clear, carries her food inside. The real nature of the wasp’s instinctual behavior is revealed if the food is moved a few inches away from the entrance to her burrow while she is inside: on emerging, she will repeat the whole procedure as often as the food is displaced. Intelligence conspicuously absent in the case of the wasp must include the ability to adapt to new circumstances.
Psychologists generally characterize human intelligence not by just one trait but by the combination of many diverse abilities. Research in AI has focused chiefly on the following components of intelligence: learning, reasoning, problem solving, perception, and using language.
(Adapted from: https://www.britannica.com/technology/artificial-intelligence)
Read the text below and choose the correct option in question.
Artificial intelligence
Artificial intelligence (AI) is the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. The term is frequently applied to the project of developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize, or learn from past experience. Since their development in the 1940s, digital computers have been programmed to carry out very complex tasks – such as discovering proofs for mathematical theorems or playing chess – with great proficiency. Despite continuing advances in computer processing speed and memory capacity, there are as yet no programs that can match full human flexibility over wider domains or in tasks requiring much everyday knowledge. On the other hand, some programs have attained the performance levels of human experts and professionals in executing certain specific tasks, so that artificial intelligence in this limited sense is found in applications as diverse as medical diagnosis, computer search engines, voice or handwriting recognition, and chatbots.
All but the simplest human behavior is ascribed to intelligence, while even the most complicated insect behavior is usually not taken as an indication of intelligence. What is the difference? Consider the behavior of the digger wasp, Sphex ichneumoneus. When the female wasp returns to her burrow with food, she first deposits it on the threshold, checks for intruders inside her burrow, and only then, if the coast is clear, carries her food inside. The real nature of the wasp’s instinctual behavior is revealed if the food is moved a few inches away from the entrance to her burrow while she is inside: on emerging, she will repeat the whole procedure as often as the food is displaced. Intelligence conspicuously absent in the case of the wasp must include the ability to adapt to new circumstances.
Psychologists generally characterize human intelligence not by just one trait but by the combination of many diverse abilities. Research in AI has focused chiefly on the following components of intelligence: learning, reasoning, problem solving, perception, and using language.
(Adapted from: https://www.britannica.com/technology/artificial-intelligence)
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