WHAT IS MACHINE LEARNING?
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AI is a branch of computer science focused on building machines capable of mimicking human intelligence. Using programs and algorithms—pioneered by figures like Alan Turing—AI enables systems to learn, reason, and self-correct.
How AI Functions
How AI Functions
AI systems, including robots and apps, operate through a simple cycle:
Collecting: Gathering data via sensors or human input.
Analysis: Comparing new data against stored information to determine its meaning.
Action: Predicting outcomes and selecting the most effective response.
From chatbots to advanced robotics, AI uses data to automate complex tasks that traditionally required a human brain.
<---- Click on the image!
<---- Click on the image!
You will learn a little about how machine learning works by training a robot to recognise ocean rubbish and sea creatures.
At the end you will gain a certificate. Snip this and paste on to your PowerPoint.
Answer these questions in your Powerpoint
1. Explain what you had to do in the 'Is this a fish? activity.
2. Why is it important that A LOT of training data is used when training a machine?
3. What might happen if the training data doesn't reflect ALL situations? Eg. it recognises a fish but not other sea creatures.
Explore the Museum of Mistakes
Machine learning game using computer vision
Draw 5 items and see if the computer can recognise them. Click on the Quick Draw image to play.
After you have drawn your 5 items, have a look at the data that the program has collected and which has been used to train the AI program to recognise the items. quickdraw.withgoogle.com/data
Self-driving cars
Self-driving cars
Real World Uses of Computer Vision - Click to Reveal!
Have a look through the table of uses of computer vision. Which have you heard of, used or experienced?
Add a slide to your Powerpoint giving THREE examples of the computer vision you have used or experienced, or find the most useful or interesting.
Explain any advantages or disadvantages of using computer vision in these situations. How has computer vision helped, or made the experience worse?
Add some information explaining how Computer Vision works.
REVISION AND TESTING
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