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4.   What do you mean by Computer vision.
                   5.   Differentiate between data and information.
              B.   Long answer type questions.

                   1.   Explain the different types of machine learning with examples. List any four applications of machine learning.
                   2.   What are the applications of deep learning?
                   3.   Identify and explain the AI domains to which the following belong:

                        a. Snapchat image filters
                        b. Virtual assistants like Siri and Alexa
                   4.   What is strong AI, and how is it different from weak AI? Give two examples of weak AI.
                   5.   What is labelled data? Explain the use of labelled data in machine learning with the help of an example.


              C.   Competency-based/Application-based questions:                        #Interdisciplinary
                   1.   You don’t need give instructions to the machine learning algorithms. Instead, you provide the algorithm with tons
                       of examples (for example images) and the algorithm learns from these examples. Which type of AI learning is this?
                   2.   Nowadays, robots are equipped with visual sensors using which they learn from their surrounding environment.
                       Identify and define this type of learning.


                                 In Life                                                #Interdisciplinary


                  Read the article on website https://www.sify.com/ai-analytics/how-ai-helped-us-find-platos-burial-site/.
                  Isn’t it wonderful that machine learning is helping decipher ancient texts. This can be hailed as a major
                  breakthrough for historical research. Find out more such examples.




                             Deep Thinking                                            #Creativity and Innovativeness



                  Let us explore AI in Cinema. Go to website https://www.sify.com/ai-analytics/top-ten-ai-in-cinema/ and read the
                  article about the top ten AI portrayals in cinema.
                  • Have you watched any movie from the list mentioned in the article? If yes, name the movie.
                  •  Based on the article and your experience of the movie, what can you infer about the portrayal of
                     AI in cinema? Consider the following points in your analysis:
                     o How is AI depicted in the movie (e.g., as a helper, a threat, or a companion)?
                     o What are the key characteristics of AI shown in the movie (e.g., intelligence, emotions, autonomy)?

                     o  How does the portrayal of AI in the movie compare to the real-life applications and capabilities of AI mentioned
                        in the article?
                  • Next, reflect on the broader implications of AI portrayal in movies:
                     o How do these portrayals shape public perception and understanding of AI?
                     o What impact might these portrayals have on society’s acceptance or fear of AI technologies?
                     o  Can you think of any real-world examples where the portrayal of AI in movies has influenced technological
                        development or public opinion?

                  Be sure to support your inferences and reflections with examples from the article and the movie you watched.


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