Page 23 - Ai Book - 8
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u   Artificial General Intelligence (AGI)
             AGI aims for human-level intelligence across diverse tasks. Example: Currently, there are no real-world
             examples; AGI is a theoretical concept.

         u   Super Artificial Intelligence (ASI)
             AI that would surpass human intelligence in almost all areas, posing significant questions about societal
             impact and ethical considerations.

         u   Data Science
             The core component of an AI system, involving the use of various types of data, such as sound, text, images,
             and video, to enable machine learning.

         u   Natural Language Processing (NLP)
             A  field  of AI  that focuses  on communication  with intelligent systems  using  natural language,  involving
             components such as Natural Language Understanding and Natural Language Generation.




                                                  S Solvedolved  QQuestionsuestions


        A.  Tick () the correct answer.
            1.  What does Artificial Narrow Intelligence (ANI) refer to?

                a.  AI capable of general cognitive abilities
                b.  AI focused on specific tasks
                c.  AI surpassing human intelligence

                d.  AI with self-awareness
            2.  Which field in AI aims to train computers to interpret and understand the contents inside images?

                a.  Machine Learning
                b.  Robotics

                c.  Computer Vision
                d.  Deep Learning

            3.  What is the primary objective of Natural Language Processing (NLP)?
                a.  Teaching machines how to see
                b.  Creating expert systems

                c.  Communicating with intelligent systems using natural language
                d.  Learning from past experiences

            4.  What are the core components of an AI-based system mentioned in the text?
                a.  Machine Learning, Deep Learning, Robotics

                b.  Data Science, Computer Vision, Natural Language Processing
                c.  Data Science, Artificial General Intelligence, Machine Learning

                d.  Computer Vision, Robotics, Deep Learning




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