AI and Machine Learning Recap

What is machine learning?

• A type of AI that recognises patterns and makes decisions without being explicitly programmed

• A new type of computer hardware

• A method for creating websites

• A way to improve battery life in devices

What are some tasks that computers can already do?

• Cook meals and clean houses

• Recognise faces and understand voices

• Write novels and compose music

• Build houses and repair cars

What potential future applications of AI?

• Driving cars and detecting diseases

• Painting pictures and sculpting statues

• Teaching in schools and writing books

• Playing sports and acting in films

What is the difference between true artificial intelligence and machine learning?

• True AI is already here, while machine learning is still being developed

• True AI is still decades away, while machine learning is here today

• True AI is used in smartphones, while machine learning is used in cars

• True AI is simpler, while machine learning is more complex

What is the main benefit of machine learning?

• It can help us tackle some of the world's biggest challenges

• It can make video games more fun

• It can improve the quality of movies

• It can make food taste better

What is crucial for machine learning to be effective?

• High-quality data and lots of it

• Advanced algorithms

• Fast computers

• Large teams of researchers

Where does training data often come from?

• Only from scientists

• From people like you and me

• From textbooks

• From other computers

How might a video streaming service use training data?

• To improve video quality

• To recommend what you might want to watch next

• To reduce subscription costs

• To create new movies

What is an example of being directly asked to help provide training data?

• Watching a movie

• Identifying street signs in photos

• Reading a book

• Playing a video game

What can medical researchers use as training data?

• Medical images

• Patient names

• Hospital locations

• Doctor's notes