Neurons and AI

What are neurons?

• Special cells in the human brain

• Types of artificial intelligence

• Computers that learn

• Movie critics

How do neurons process information?

• They receive multiple outputs

• They cannot connect to each other

• They only store information

• Inputs enter, are combined, and produce an output

What did early AI scientists create to mimic human neurons?

• Biological networks

• Artificial neurons

• Movie recommendation systems

• Brain-computer interfaces

What is the purpose of the movie recommendation system mentioned?

• To create new movies

• To rate movie critics

• To guess how much you will like a movie

• To teach people about movies

How do the critics' ratings affect the recommendation?

• They are ignored completely

• They are counted equally at first

• They are always weighted equally

• They are only used for one movie

What happens when you give a rating to a movie?

• The system stops learning

• The neuron's weights are recalculated

• The critics' opinions are erased

• The system only remembers the last rating

What is a powerful neural network composed of?

• Many neurons arranged in layers

• A single neuron

• Only input layers

• Only output layers

What are some real-world applications of neural networks mentioned?

• Making movies

• Predicting weather

• Detecting and curing diseases

• Creating music

How does the output of one layer function in a neural network?

• It becomes the input to another layer

• It is the final output

• It is ignored

• It does not relate to the other layers

What is the first thing that enters a neuron?

• Output signals

• Input signals

• Critics' ratings

• Movie recommendations