“Artificial Intelligence” — a type of computer or machine that can think and learn like humans.

Think of it like this:

• A normal computer only does what you tell it.
• But AI can understand, learn, and make decisions on its own.

Example:

• If you talk to Google Assistant, Alexa, or ChatGPT, you are using AI.
• It can answer questions, translate languages, recognize photos, or even drive cars (like in self-driving cars).

Real-life uses of Artificial Intelligence:

• • Chatbots on websites
  • Face unlock on phones
  • Self-driving cars
  • Recommendation systems (like Netflix or YouTube suggesting videos)

Different branches of Artificial Intelligence

 

Branch	What it Does	Example
1. Machine Learning (ML)	Learns from data without being programmed	Spam filters, recommendation systems
2. Deep Learning (DL)	Uses neural networks to mimic the human brain	Face recognition, voice assistants
3. Natural Language Processing (NLP)	Understands and processes human language	ChatGPT, Google Translate
4. Computer Vision	Sees and understands images/videos	Self-driving cars, facial recognition
5. Robotics	Builds machines that can move and act	Industrial robots, drones, humanoid robots
6. Expert Systems	Decision-making based on a knowledge base	Medical diagnosis systems
7. Fuzzy Logic	Deals with uncertainty and approximate reasoning	Smart thermostats, washing machines
8. Evolutionary Algorithms	Learns using ideas from biological evolution	Optimization problems in engineering
9. Speech Recognition	Understands spoken language	Siri, Google Assistant voice input
10. Planning and Scheduling	Makes decisions to achieve goals over time	AI in games, logistics, traffic systems
11. Generative AI	Creates new content (text, images, music)	DALL·E, Sora, music and code generation

Simple Way to Remember:

• Learning → Machine Learning,  Deep Learning
• Language → NLP, Speech Recognition
• Seeing → Computer Vision
• Doing → Robotics, Planning
• Thinking → Expert Systems, Fuzzy Logic
• Creating → Generative AI