AI

Question 1

What is artificial intelligence?

Answer 1

Artificial intelligence (AI) is the creation of computer systems that can perform tasks normally requiring human intelligence. These tasks include things like:
• Understanding language – like reading text or responding to questions.
• Recognising images or sounds – like facial recognition or speech-to-text.
• Making decisions or predictions – like recommending products or detecting fraud.
• Learning from experience – AI can improve over time by analysing data (this is called machine learning).

💡 Simple analogy: Think of AI as a very smart “digital brain” that can learn patterns, solve problems, and respond—but it doesn’t have feelings or consciousness like a human.

Question 2

What is machine learning?

Answer 2

Machine learning (ML) is a subset of artificial intelligence where computers learn patterns from data instead of being explicitly programmed. Instead of giving the computer step-by-step instructions, you give it examples, and it figures out rules or predictions on its own.

Key points:
1. Learning from data – The system studies examples (like photos, numbers, or text) to detect patterns.
2. Making predictions or decisions – Once trained, it can predict new outcomes, like recognising a cat in a photo.
3. Improving over time – The more data it sees, the better it usually gets.

Simple analogy:

Imagine teaching a child to recognise apples:
• You show them lots of apples (data).
• The child starts noticing patterns (red, round, smooth).
• Next time they see a fruit, they can guess whether it’s an apple based on what they’ve learned.

💡 Example in real life:
• Netflix recommending shows you might like
• Spam filters in your email
• Self-driving car detecting pedestrians