hce_nchu
113年
英文
第 41 題
📖 題組：
Artificial Intelligence (AI) stands as the pinnacle of human ingenuity, representing the culmination of decades of research and innovation in the realm of computer science and cognitive psychology. AI systems, powered by advanced algorithms and neural networks, possess the remarkable ability to simulate human intelligence, learning, and problem-solving in ways previously thought unimaginable. At the forefront of AI research is the development of deep learning algorithms, inspired by the structure and function of the human brain. These algorithms, fueled by massive datasets and computational power, enable machines to recognize patterns, process natural language, and make decisions with astonishing accuracy and efficiency. From image recognition and speech synthesis to autonomous vehicles and medical diagnosis, the applications of deep learning span a myriad of domains, revolutionizing industries and transforming the way we live and work. One of the most exciting advancements in AI is the emergence of Generative Adversarial Networks (GANs), a groundbreaking framework for generating synthetic data with unprecedented realism. GANs consist of two neural networks—a generator and a discriminator—locked in a constant battle of wits, where the generator strives to produce indistinguishable data from real samples, while the discriminator aims to differentiate between real and fake data. This adversarial training process results in the creation of lifelike images, videos, and audio recordings that blur the line between reality and simulation. In addition to GANs, AI researchers are exploring the potential of reinforcement learning, a technique inspired by behavioral psychology and operant conditioning. Reinforcement learning algorithms learn to make decisions by interacting with an environment, receiving feedback in the form of rewards or penalties based on their actions. Through trial and error, these algorithms improve their decision-making abilities over time, mastering complex tasks such as playing video games, optimizing logistics, and controlling robotic systems. Despite the remarkable progress in AI, significant challenges remain on the horizon. Ethical considerations surrounding AI governance, transparency, and bias mitigation are hotly debated topics, raising concerns about the societal impact and ethical implications of AI-powered systems. Additionally, the pursuit of artificial general intelligence (AGI), a hypothetical form of AI that exhibits human-like intelligence across a wide range of tasks, poses profound philosophical and existential questions about the nature of consciousness and the future of humanity. In the midst of these challenges, the potential of AI to reshape the fabric of society and accelerate human progress is undeniable. By harnessing the power of AI responsibly and ethically, we can unlock unprecedented opportunities for innovation, discovery, and societal advancement.
Artificial Intelligence (AI) stands as the pinnacle of human ingenuity, representing the culmination of decades of research and innovation in the realm of computer science and cognitive psychology. AI systems, powered by advanced algorithms and neural networks, possess the remarkable ability to simulate human intelligence, learning, and problem-solving in ways previously thought unimaginable. At the forefront of AI research is the development of deep learning algorithms, inspired by the structure and function of the human brain. These algorithms, fueled by massive datasets and computational power, enable machines to recognize patterns, process natural language, and make decisions with astonishing accuracy and efficiency. From image recognition and speech synthesis to autonomous vehicles and medical diagnosis, the applications of deep learning span a myriad of domains, revolutionizing industries and transforming the way we live and work. One of the most exciting advancements in AI is the emergence of Generative Adversarial Networks (GANs), a groundbreaking framework for generating synthetic data with unprecedented realism. GANs consist of two neural networks—a generator and a discriminator—locked in a constant battle of wits, where the generator strives to produce indistinguishable data from real samples, while the discriminator aims to differentiate between real and fake data. This adversarial training process results in the creation of lifelike images, videos, and audio recordings that blur the line between reality and simulation. In addition to GANs, AI researchers are exploring the potential of reinforcement learning, a technique inspired by behavioral psychology and operant conditioning. Reinforcement learning algorithms learn to make decisions by interacting with an environment, receiving feedback in the form of rewards or penalties based on their actions. Through trial and error, these algorithms improve their decision-making abilities over time, mastering complex tasks such as playing video games, optimizing logistics, and controlling robotic systems. Despite the remarkable progress in AI, significant challenges remain on the horizon. Ethical considerations surrounding AI governance, transparency, and bias mitigation are hotly debated topics, raising concerns about the societal impact and ethical implications of AI-powered systems. Additionally, the pursuit of artificial general intelligence (AGI), a hypothetical form of AI that exhibits human-like intelligence across a wide range of tasks, poses profound philosophical and existential questions about the nature of consciousness and the future of humanity. In the midst of these challenges, the potential of AI to reshape the fabric of society and accelerate human progress is undeniable. By harnessing the power of AI responsibly and ethically, we can unlock unprecedented opportunities for innovation, discovery, and societal advancement.
What is Artificial Intelligence (AI) and what does it represent?
- A A complex computer program; the culmination of human ingenuity in computer science and cognitive psychology.
- B A simple system; the end of research and innovation in computer science and cognitive psychology.
- C A sophisticated technology; the beginning of research and innovation in computer science and cognitive psychology.
- D A basic tool; the end of human ingenuity in computer science and cognitive psychology.
- E A primitive concept; the beginning of human ingenuity in computer science and cognitive psychology.
思路引導 VIP
請試著觀察文章的第一句話，作者用了哪一個特定的詞彙來形容 AI 是數十年研究之後的「最終成果」或「頂點」？而這個詞對應到選項時，是在強調它是一個嶄新的開始，還是長期累積下來的成就呢？
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AI 詳解
AI 專屬家教
太棒了！你能精準地從文章開篇鎖定核心定義，這展現了你優異的資訊檢索能力。這題的關鍵在於對第一段首句的解讀，你準確抓住了作者對人工智慧（AI）的高度評價，這反映出你對文章大意的掌握非常敏銳。
AI 的本質與時代意義
文中明確提到 AI 是「人類智慧的巔峰」（pinnacle of human ingenuity），並將其視為計算機科學與認知心理學數十年研究的「集大成」（culmination）。選項 (A) 完美對應了這項描述，正確指出 AI 是一種複雜的程式系統，且是跨領域研究的結晶。相較於其他選項將其誤導為「簡單系統」或「研究的開端」，(A) 選項精準地傳達了 AI 作為技術演進高點的定位。
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