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2. General AI (Strong AI): General AI refers to a machine that has the ability to understand, learn
                   and apply knowledge in a manner similar to human beings. It can perform any intellectual task
                   that a human can do. Currently, general AI is theoretical, and no machine has reached this level
                   of intelligence yet.



                                     3.  Superintelligent AI: Superintelligent AI is a hypothetical AI that surpasses human
                                        intelligence in all areas, including creativity, problem-solving and social intelligence.
                                        Superintelligence is speculative and not yet realised.




                 Applications of AI

                 We  are  at Narrow AI  right now  AI has various real-world
                 applications across many industries. Some key examples include:
                   Healthcare: AI is transforming healthcare by enhancing
                   diagnostics, treatment planning and patient care. AI-driven tools
                   can analyse medical data, such as X-rays, MRIs and lab results,
                   to identify patterns and help doctors make accurate diagnoses.
                   For example, AI-powered diagnostic tools like IBM Watson Health help doctors identify diseases like
                   cancer with greater accuracy.
                                                                Autonomous Vehicles: AI is the backbone of autonomous
                                                                (self-driving) vehicles. It enables cars  to analyse their
                                                                surroundings,  make  decisions in real-time,  and  navigate
                                                                without human intervention. AI systems  use sensors,
                                                                cameras, and machine learning to detect obstacles, follow
                                                                traffic rules, and ensure safe driving. For example, Tesla’s
                                                                self-driving cars use AI algorithms for navigation,  object
                                                                detection, and route planning.

                   Natural Language  Processing  (NLP): NLP enables
                   computers to understand, interpret, and generate human
                   language.  It is  used in voice assistants,  chatbots, and
                   translation  services, allowing  machines to communicate
                   with humans in a natural and intuitive way. For example,
                   Virtual  assistants  like  Amazon's  Alexa,  Apple’s  Siri,  and
                   Google Assistant use NLP to process voice commands and
                   provide responses.
                                                              Robotics: AI-powered robots are revolutionising industries
                                                               such as manufacturing,  agriculture, and healthcare. These
                                                               robots can perform tasks that are dangerous, repetitive, or
                                                               require precision. In industries like manufacturing, robots can
                                                               assemble products,  inspect  items for  defects  and  package
                                                               goods with speed and accuracy. For example,  AI robots in
                                                               warehouses, like those used by Amazon, can autonomously
                                                               move and organize goods.
                                                                                                  Emerging Trends   159
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