Exploring Neurons and AI History

What year is considered the birth year of AI?

• 1980

• 1972

• 1965

• 1956

Who is known as the father of AI?

• John McCarthy

• Herbert Simon

• Marvin Minsky

• Alan Turing

What was the first AI program developed?

• Logic Theorist

• Deep Blue

• AlphaGo

• ELIZA

What are the main components of a biological neuron?

• Nucleus, mitochondria, endoplasmic reticulum

• Plasma membrane, Golgi apparatus, lysosomes

• Cell wall, chloroplasts, ribosomes

• The main components of a biological neuron are the cell body, dendrites, axon, myelin sheath, and synaptic terminals.

What is the function of dendrites in a biological neuron?

• Dendrites receive signals from other neurons.

• Dendrites protect the neuron from damage.

• Dendrites transmit signals to muscles.

• Dendrites produce neurotransmitters.

How does the axon contribute to neuron function?

• The axon transmits electrical impulses and facilitates communication between neurons.

• The axon stores neurotransmitters for later use.

• The axon absorbs nutrients from the surrounding environment.

• The axon generates new neurons in the brain.

What is the role of synapses in neural communication?

• Synapses enable neural communication by transmitting signals between neurons through neurotransmitters.

• Synapses block signals between neurons.

• Synapses are responsible for muscle contraction.

• Synapses store memories in the brain.

What is the basic structure of an artificial neuron?

• The basic structure of an artificial neuron includes inputs, weights, a bias, an activation function, and an output.

• Weights and biases only

• Inputs and outputs only

• Activation function and output only

What are the key components of an artificial neuron?

• Data, processing unit, memory, storage

• Neurons, synapses, neurotransmitters, impulses

• Inputs, weights, bias, activation function, output.

• Inputs, outputs, feedback loop, learning rate

How does an artificial neuron process input signals?

• An artificial neuron processes input signals by randomly selecting inputs without any calculations.

• An artificial neuron processes input signals by calculating a weighted sum of inputs, adding a bias, and applying an activation function.

• An artificial neuron processes input signals by multiplying all inputs together and ignoring biases.

• An artificial neuron processes input signals by directly outputting the first input it receives.