Page 147 - Artificial Intellegence_v2.0_Class_9
P. 147

Let us learn about them in detail.



                                                       Artificial Intelligence






                             Weak AI                       Strong AI                        Super AI



            Weak AI

            It is also known as Narrow AI. It is the most common type of AI that we can see and use all around us. Characteristics
            of this AI are :

               • Narrow AI performs dedicated tasks with intelligence.
               • It cannot perform beyond its capabilities. It is trained to perform a
              specific task. It fails in unpredictable situations.
               • Apple’s Siri is a good example of Weak AI systems. It is a digital virtual
              assistant that operates with a predefined limited range of operations.
               • Even IBM’s Watson Supercomputer comes under the category of weak
              AI. It is  an Expert System combining machine learning and Natural
              Language Processing.
               • Some other  examples include Self-driven cars, Image processing, e-commerce websites using chatbots,  AI
              system playing chess, etc.


            Strong AI
            It is also termed as General AI. Machines with the following characteristics will fall in this category:

               •  Machines that would perform a wider range of different tasks with the intelligence like that of humans.
               •  It is a step ahead of Weak AI by including problem-solving, learning and development.

               •  At present, we have not developed any such machines.




















               •  Worldwide research is now focused on developing machines with strong AI.

               • As these systems are in their research stage, it may take a lot of time and effort to develop these.
               • An example of Strong AI could be a machine hearing "good morning" and deciding to turn on the coffee maker.


                                                                                        Introduction to AI   145
   142   143   144   145   146   147   148   149   150   151   152