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Natural language processing: It is the automatic understanding

                    and  manipulation  of  natural  languages  like  speech  or  text  by  a
                    software. Learning algorithms classify and detect messages as spam.

                     Machine  learning:  Machine  learning  is  a  core  subject  area  of   Natural language processing
                    Artificial Intelligence. It can be defined as a set of methods that can automatically detect
                    patterns in data and then use the uncovered patterns to predict future data, or to perform
                    other kinds of decision making tasks under uncertainty. The devices that do such kind of jobs
                    are called “Agents”.
                                                          Artificial  Intelligence  is  a  technique  that  enables  computers  and
                            Artificial
                                                          machines  to  mimic  human  intelligence  using  logic,  if-then  rules,
                           Intelligence
                                                          decision trees, and machine learning.
                            Machine
                                                          A  subset  of  AI  that  includes  abstruse  statistical  techniques  that
                            Learning
                                                          enables machines to improve at tasks with experience.

                                                          A subset of machine learning composed of algorithms that permits
                             Deep
                                                          software train itself to perform tasks, like speech and image recognition
                            Learning
                                                          by exposing multi-layered neural networks to vast amount of data.

                 Machine and deep learning allow you to create smarter and more useful technology to help the
                 people and society.
                 Clickipedia


                   Recently machine learning has been used to achieve good results in building robots that
                   interact socially (SOPHIA).
                   The  earliest  successful  Artificial  Intelligence  program  was  written  in  1951  by  Christopher
                   Strachey, at University of Manchester, England. This program could play a game of checkers.


                     PHILOSOPHERS VIEWS ON ARTIFICIAL INTELLIGENCE

                 Philosophers have been trying to find the answers to questions such as, will machines be able to
                 act intelligently as humans? and if they did, would they have a real and conscious mind? What
                 will be the ethical implications of intelligent machines?
                 Weak Artificial Intelligence Hypothesis

                 The Artificial Intelligence that focuses only on one narrow task or specific problem is called weak

                 Artificial Intelligence. The weak AI is also known as narrow AI. Siri is a good example of narrow AI.
                 The assertion that machines could act as if they were intelligent is called the weak AI hypothesis.
                 Strong Artificial Intelligence Hypothesis

                 The AI that can understand or learn any problem as human beings can do, instead of a specific
                 problem is called strong AI. In other words, the machines that can perform activities just similar
                 to humans without any external help are called strong intelligent machines. The assertion that
                 machines that do such strong AI are actually thinking (not just simulating thinking) is called the
                 strong AI hypothesis.


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