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TRADITIONAL                                          MODERN
                            Cloud Computing                                    Edge Computing





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                1.4 ARTIFICIAL INTELLIGENCE (AI) AND MACHINE LEARNING (ML)

              Artificial Intelligence (AI) and Machine Learning (ML) are transforming industries by enabling machines to
              perform tasks that once required human intelligence. AI aims to replicate human-like decision-making and
              cognition, allowing systems to think, reason, and solve problems. On the other hand, ML focuses on enabling

              machines to learn from experience and improve over time without explicit programming. Together, these
              technologies are  reshaping  technology  and  society,  creating  smarter  devices and  systems that  are  more
              efficient and capable of handling complex tasks across various fields.

              What is AI?

              Artificial  Intelligence  (AI)  refers  to  the  simulation  of  human
              intelligence in machines that are programmed to think and learn
              like humans. The goal of AI is to create systems that can perform
              tasks that normally require human intelligence, such as problem-
              solving, decision-making, language  understanding, and visual
              perception.

              Types of AI
              AI can be classified into three main types:

              1. Narrow  AI  (Weak  AI):  Narrow  AI refers to systems that  are
                 designed and trained to perform a specific task. These systems
                 operate under a limited set of conditions and do not possess
                 general  intelligence. Examples: Virtual assistants  (like Siri or

                 Alexa), spam filters, and facial recognition software.



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