What is the primary distinction between Strong AI and Weak AI?OptionsStrong AI focuses on improving hardware, while Weak AI focuses on software development.Strong AI is more expensive to develop than Weak AI.Strong AI possesses general human-like intelligence, while Weak AI exhibits specialized, task-oriented intelligence.Weak AI can only operate in laboratory settings, while Strong AI can function in real-world scenarios.

Select the characteristics that apply to Weak AI:OptionsWeak AI is task-specific and lacks general intelligence.Weak AI is often used in practical applications like virtual personal assistants.Weak AI has the ability to pass the Turing Test.Weak AI is sometimes referred to as "narrow AI."

Select the statements that accurately describe Strong AI:OptionsStrong AI aims to replicate human-level intelligence.Strong AI is currently achievable and widely used in applications.Strong AI can perform tasks outside the specific domain it was designed for.Strong AI can understand and comprehend human emotions.

What is Weak AI?2 pointsa) the study of mental faculties using mental models implemented on a computerb) the embodiment of human intellectual capabilities within a computerc) a set of computer programs that produce output that would be considered to reflect intelligence if it were generated by humansd) all of the mentioned

A completely automated chess engine (Learn from previous games) is based on?OptionsWeak AI is task-specific and lacks general intelligence.Weak AI has the ability to pass the Turing Test.Weak AI is sometimes referred to as "narrow AI."Weak AI is often used in practical applications like virtual personal assistants.

Please select the correct answer. 請選出正確答案。1. Which of the following is NOT a major sub-field of AI?以下哪樣不是人工智能的主要子領域？Deep Learning 深度學習Supervised Learning 監督學習Machine Learning 機器學習Electronic Learning 電子學習2. Which of the following statements is a correct description about strong AI and weak AI?以下哪個對強人工智能和弱人工智能的描述是正確的？Weak AI is a theoretical concept that does not yet exist. 弱人工智能至今仍屬理論性概念，現時並未在世上實現。Weak AI emulates human behaviours and understands the meaning of actions. 弱人工智能模擬人類的行為表現，並能理解動作本身的意義。The chess-playing computer program AlphaGo belongs to strong AI. 下棋電腦程式AlphaGo屬於強人工智能。Strong AI possesses self-consciousness and displays affective responses similar to those of human beings. 強人工智能擁有人類的自我意識和情感。3. Which of the following is true?以下哪一個説法正確？Only ‘feature’ is necessary in unsupervised learning. 非監督式學習只需用到「特徵」。Only ‘label’ is necessary in unsupervised learning. 非監督式學習只需用到「標籤」。Whether ‘feature’ and ‘label’ are necessary in unsupervised learning depends on different contexts and situations. 進行非監督式學習時，用到「標籤」和「特徵」與否取決於不同情況和背景。Both ‘label’ and ‘feature’ are necessary in unsupervised learning. 非監督式學習需用到「標籤」和「特徵」。4. Which of the following is true?以下哪一個説法正確？‘Deep Learning’ is a subfield of ‘Machine Learning’. 「深度學習」涵蓋於「機器學習」當中。‘Machine Learning’ is also known as ‘Deep Learning’. 「機器學習」是「深度學習」的另一種叫法。There is no relation among ‘AI’, ‘Machine Learning’ and ‘Deep Learning’.「人工智能」、「機器學習」和「深度學習」是三種沒有關係的概念。‘Machine Learning’ is a subfield of ‘Deep Learning’. 「機器學習」涵蓋於「深度學習」當中。