Page 190 - AI Ver 1.0 Class 9
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•  Sophia, the Humanoid Robot: It is designed by HongKong-based company Hanson Robotics in Feb 2016 and
                made her first public appearance in March 2016 in the USA.
            2.  Explain any two gadgets which do not use AI.
          Ans.  The gadgets which do not use AI are:
              •  A Fully Automatic Dishwasher: It can work on its own but requires an input from humans. You can select
                different parameters/commands and based on your choices, the necessary action is taken. Hence, it is an
                example of automation and not AI.
              •  IP-Enabled Security Cameras: They can be accessed remotely with the help of the internet but still needs a
                human touch. So, it is an example of the Internet of Things (IoT).

            3.  Give three examples of AI around us.
          Ans.  The three examples of AI around us are as follows:
              •  Smartphones:  The  built-in  smart  assistants  (like  Siri)  are  some  obvious  examples  of  AI.  Google’s
                AI-powered predictions have a visible impact in every person’s life. The portrait mode of the camera in our
                smartphone is also an AI feature. It makes the background blur while focusing the foreground object.
              •  Email Spam Filters: Email categorization and spam filters are one of the powering features of AI that affect our
                inbox. Simple rule-based filters are used to mark spam or put email into various categories as Primary, Social,
                Promotion or Important.
              •  Virtual Assistants: Smart virtual assistants that we use to control our smart house are prime examples of AI
                impacting our daily lives. They use AI to study our behaviour and patterns so that they can adjust themselves
                automatically. They are capable to do several things like send quick messages, set reminders, check the weather
                and get the latest news.
            4.  How can a machine become intelligent?
          Ans.  Artificial Intelligence makes the machines intelligent. Programming along with some aspects of human intelligence like
              decision making and problem solving gives rise to intelligent machines. Machines are fed with enough data and correct
              algorithms to make them intelligent.
            5.  “The more the data, the better will be the analysis” Justify.
          Ans.  AI requires large  amounts of data  to find  the  latest trends and  patterns. For  example,  I plan  to organise a  social
              gathering in an open air setup in the month of August in Delhi. I will have to look for a weather forecast for the same
              and also look at the previous years' trends. So data collection is the base for analyses and pattern recognition models.
              From  those patterns, predictive models  can be made. Applications of AI in data sciences  can be seen in weather
              forecasting, score prediction, targeted advertisement, predictive analysis in finance.

            6.  What projects are undertaken to achieve No Poverty in SDG?
          Ans.  The projects  involved in achieving this SDG are:
              a.  Combining satellite imagery and machine learning to predict poverty: The study used machine learning to

                  assess consumer spending and asset wealth, using high-resolution satellite imagery to measure poverty in Africa.
              b.   Methods for Extremely Rapid Observation of Nutritional Status (MERON) to detect malnutrition using photographs.
                  Kmetrica has developed and application MERON that can access malnutrition status of individuals using facial
                  recognition and processing algorithms.

            7.  Explain any three AI-enabled SDG projects undertaken for affordable and clean energy.
          Ans.  Three AI-enabled SDG projects undertaken for affordable and clean energy are:
              a.   AI in energy Security: SparkCognition is an AI technology company that uses AI to predict when critical
                  infrastructure will collapse.
              b.   AI for Management and operations of Solar Power Plants: Using AI-based diagnostic and optimization
                  solutions, production data of a solar plant can be optimized.



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