Class 9 β Subject Code: 417 | Part B β Subject-Specific Skills
π What is Artificial Intelligence (AI)?
Artificial Intelligence (AI) is a branch of computer science that aims to create machines or systems that can perform tasks that normally require human intelligence.
π§ AI performs tasks like:
- Understanding language
- Recognizing images
- Making decisions
- Learning from data
- Solving problems
π‘ Real-Life Examples of AI
Area | Example of AI Use |
---|---|
Education | AI tutors, plagiarism checkers |
Healthcare | Disease diagnosis, robotic surgery |
Agriculture | Crop monitoring, soil analysis |
Banking | Fraud detection, chatbots |
Entertainment | Movie/music recommendations |
Transportation | Self-driving cars, smart traffic signals |
π§ Goals of AI
- Make machines think and act like humans
- Increase efficiency and accuracy
- Help solve complex problems
- Reduce human efforts in repetitive tasks
π§© Difference Between Human Intelligence & AI
Aspect | Human Intelligence | Artificial Intelligence |
---|---|---|
Learning | Learns from experience & emotions | Learns from data and training |
Emotions | Has feelings | No emotions |
Decision Making | Uses logic, experience, and emotions | Uses data, patterns, and algorithms |
Creativity | Highly creative | Limited creativity (based on inputs) |
Speed | Slower than computers | Extremely fast |
π§ 3 Domains of AI
1οΈβ£ Data Science (DS)
AI uses data to learn and make decisions.
- Example: YouTube suggesting videos based on your watch history.
2οΈβ£ Natural Language Processing (NLP)
Machines understanding, interpreting, and generating human language.
- Example: Alexa, Google Assistant, chatbots.
3οΈβ£ Computer Vision (CV)
AI understands and analyzes images, videos, and visual content.
- Example: Face recognition in smartphones, automatic tagging on Facebook.
π Key Terms
Term | Meaning |
---|---|
Machine Learning | A method through which AI systems learn from data |
Algorithm | Step-by-step instructions for solving a problem |
Model | An AI system trained to make decisions or predictions |
Dataset | A large collection of data used to train AI |
Training | Feeding data to an AI system to help it learn |
π― Activities for Students
- Think-Pair-Share: Discuss AI examples at home/school
- AI Diary: Write 5 places where you interacted with AI today
- Group Activity: Make a poster on “AI in Daily Life”
β Summary
- AI mimics human intelligence to perform tasks.
- It’s widely used in real life β from smartphones to hospitals.
- The three main AI domains are: Data, NLP, and Computer Vision.
- AI is different from human intelligence in learning, emotions, and creativity.
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