Course 1, lesson 3 of 100, Ages 3+

Machines all around

Helpers at home and outside

Like I’m 5

A toaster does the same thing every time. A learning machine gets better the more it practises, just like you get better at riding a bike.

The big idea

Machines are tools that help us do jobs. Some are simple: a washing machine follows the same steps every time you press start.

Some machines can learn. They get better the more they practise, like a robot vacuum that learns the shape of your room so it stops bumping into the sofa. The learning part is the AI.

Examples

  • Washing machine: Same steps every time. It doesn't learn.
  • Robot vacuum: It maps your rooms and learns where the furniture is.
  • Video app: It learns which cartoons you like and shows you more of them.

How it works

  1. Lots of machines help us every day. A fridge keeps food cold, a washing machine cleans clothes, a lift carries us up.
  2. Most machines follow the same steps every time. A toaster toasts. It never learns to toast better.
  3. A few machines can learn. A map app learns which roads are busy. A phone learns your voice. Those are AI.

Check your understanding

Which of these is learning?
Options: A map app that spots traffic jams; A toaster; A torch.
Answer: A map app that spots traffic jams. The map app learns from what lots of cars are doing right now. The toaster and the torch never change.
What makes a learning machine different?
Options: It gets better with practice; It is always bigger; It is always shiny.
Answer: It gets better with practice. Learning machines improve from practice and examples. Size and shine don't matter.

Remember

Most machines follow steps. AI machines learn.

Talk about it

Which machines at home do the same steps every time?

Go deeper

Traditional software follows rules a programmer wrote. Machine learning systems find their own rules from data. Most AI today is narrow: very good at one task, like routing traffic or recognising faces, and not intelligent in a general sense.