Class 9 AI Chapter - AI Project Cycle Topic - AI Domains - Arvindzeclass - NCERT Solutions

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Tuesday, June 17, 2025

Class 9 AI Chapter - AI Project Cycle Topic - AI Domains

 Type of Artificial Intelligence

1) Weak AI: Weak AI systems are intelligent systems which are programmed to perform specific task. These are also called Narrow AI. Amazon Alexa, Google Assistant, and Apple Siri are the examples of weak AI.

2) Strong AI: Strong AI or General AI has the capability to mimic human brain.  It can understand, learn, and apply knowledge from one environment to another. 
  
3) Super AI: Super AI is hypothetical and yet to be created. Super AI is self aware like human beings. It will be able to make decisions logical and rational while exhibiting emotions at the same time.

Applications of AI

i) Security and Surveillance: AI based security systems monitor the movement of everyone and track the strangers. It analysis each movement and takes decisions. 
 
ii) Navigation: AI based maps are used for navigation in everyday life like Google Map. It is also used in cab and hotel booking. It helps to find shortest distance and routes without traffic.

iii) Social Media: When someone post a picture on social media, it identifies the person. It also analysis the picture and gets information about the content. It gives suggestion about content and recommends friends. 

iv) Virtual Assistant: Amazon Alexa, Google Assistant, and Apple Siri are the few examples of Virtual Assistant. They are used to set reminder, quick message, news updates.

v) Email Spam Filter: Email spam filter and email categories are the good feature of AI. They read the emails, extract the information, and helps to write Emails like Microsoft Copilot.

Famous AI Machines

1) Google Driverless Car: Google has driverless cars under the name Waymo subsidiary company of Alphabet.  Its aim is to improve travel experience and save lives.

ii) Virtual Assistant: Amazon Alexa, Apple Siri, and Google Assistant are the examples of Virtual Assistants. They interact in human language and assist in daily work.
 
iii) Boston Dynamics AI Robot: Boston Dynamics has developed many two legs and four legs AI robot which redefine our day-to-day life.

iv) IBM Watson: IBM Watson is a question-answering machine which helps in business to analysis data and get the insight to take decision. It is based on Natural Language Processing and Machine Learning.

v) Sophia AI Humanoid: Sophia is humanoid robot developed by Japan based company Hanson Robotics in Feb 2016. It looks like human like and gives realistic human expression. In Oct 2017, Sophia got the citizenship of Saudi Arabian country.

Importance of AI

AI has entered in every business sectors and every part of life. AI has given the thinking power to a machine and it has become intelligent by using machine learning. It take previous data and takes decision without human interference. 

1) Automation: AI enabled machines work automatically without human help, so productively has been increased in Industries . Personal assistant like Siri, Alexa, and chatbot have simplified daily tasks.

2) Robots: AI has given the thinking capability and human intelligence to Robots. Humanoid and Robots are performing difficult tasks like Kawasaki Corleo

3) Increasing Efficiency: AI systems and AI equipped machines are easily getting insight of complex data and helping to take difficult decisions. AI machines have saved a lot of time and have increased accuracy in each sector.

4) Assisting differently abled people: AI based hardware and software are helping to differently abled people to hear, see and talk. AI enabled tools are helping  people to walk and use their hands who have lost their body part in accident.

Domains of AI

Artificial Intelligence(AI) isn't a independent subject it has three domain Data Statistics, Computer Vision, and Natural Language Processing. These domains are different from each other which work together and develop the concept to AI.
ai domains
AI Domains
1) Data Statistics: Data Statistics is a critical domain in AI for data analysis. It helps to extract meaningful information from data to take decisions. Data can be number, text, or an image. AI system collect structured, unstructured, and unstructured data and uses machine learning algorithm to get the meaningful information in form of charts, graphs. The information gathered from statistical data analysis is used to take decision in real life.

2) Computer Vision: AI machines use computer vision domain to understand their surrounding. Computer Vision read, process, and analyse visual data like image and video. It helps machine to take decisions. For example driver less car. it processes live data and take decision whether stop or run.

3) Natural Language Processing(NLP): Virtual Assistants like Siri, Alexa, and Google Assistant use NLP to understand voice commands and response accordingly. NLP enables machine to understand human language and response. NLP uses text or speech like in Chatbot, virtual assistant.



 

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