Understanding AI and Neural Networks

What inspired early computer scientists to create learning machines?

• The complexity of computer algorithms

• The structure of the solar system

• The learning capabilities of the human brain

• The efficiency of industrial machinery

What is the basic structure of a neuron in the human brain?

• A complex network of multiple outputs

• Multiple inputs combined into a single output

• A single input and output channel

• A static cell with no inputs or outputs

How do artificial neurons process information?

• Through complex algorithms only

• By using a single input and output

• By combining multiple inputs into a new output

• By replicating human decision-making exactly

What enhances the capability of an artificial neuron?

• Using only simple math operations

• Limiting the number of inputs

• Connecting with millions of other neurons

• Operating in isolation

In the movie recommendation system, what happens when your rating is used to train the neuron?

• The weight of critics' opinions is recalculated

• The critics' opinions are ignored

• All critics' opinions are given equal weight

• The system's accuracy decreases

What is the role of hidden layers in a neural network?

• To process the output of one layer as input to another

• To serve as the only layer in simple networks

• To decrease the system's efficiency

• To directly interact with the system's inputs

How do real-world recommendation systems utilize neural networks?

• By using a single layer of neurons

• Through manual adjustment of weights

• By employing millions of users' ratings

• By limiting the network to a few neurons

Which of the following is NOT a use of neural networks?

• Curing diseases

• Improving industrial machinery efficiency

• Creating digital art

• Predicting natural disasters

What allows neural networks to solve complex problems?

• The use of a single artificial neuron

• Their ability to perform simple math

• The interconnection of millions of neurons

• Limiting the inputs to a few critical ones

How do neural networks contribute to wildlife conservation?

• By predicting stock market trends

• Through enhancing video game graphics

• By aiding in the detection of diseases

• By analyzing data to protect endangered species