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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