20BM224 – Bioinspired Soft Computing

Which of the following is a type of AI based on its capabilities?

• Reactive

     Machines

• Supervised

     Learning

• Data Mining

• Cloud Computing

Which AI technique enables machines to learn from past experiences?

• Blockchain

• Machine 

     Learning

• Cryptography

• Big Data

What makes Generative AI more flexible than Traditional AI?

• It can learn

       and create 

       new patterns

• It does not

      require any  

     training data

• It follows

      only pre-

     defined

     decision trees

• It does not use

       neural networks

How does Computational Intelligence differ from traditional AI?

• Focuses on

      rule-based

      decision-

      making only

• Includes

    adaptive

    learning and

    self-  

    improvement

• Cannot

    handle

    uncertain or  

    imprecise

    data

• Does not use

      machine

      learning

      techniques

What part of the biological neuron receives signals from other neurons?

• Axon

• Dendrites

• Synapse

• Cell body

In an artificial neuron, what is the role of the activation function?

• To store data

      like memory

• To determine

      whether a

      neuron  

      should fire

      based on

      input weights

• To remove

       errors in a   

       neural network

• To physically

      connect artificial

      neurons

In an artificial neural network, what happens when the input weights and bias exceed a certain threshold?

In an artificial neural network, what happens when the input weights and bias exceed a certain threshold?

• The neuron

      does nothing

• The neuron

      activates and

      passes the

      signal forward

• The network

      stops learning

• The weights reset

      automatically

What is the fundamental principle of Hebb’s Learning Model?

• Complex

     Network have

     better learning

• Neurons that fire

     together, wire

     together

• AI can learn

      without data

• Only supervised

      learning works in neural

      networks

Which of the following problems is NOT linearly separable?

• AND logic

      function

• OR logic

      function

• XOR logic

      function

• A simple binary  

      classification

      problem

Mauchly’s Pit primarily affected which type of AI models?

• Perceptron-

    based models

• Deep learning

      models

• Convolutional

      neural  

      networks

• Genetic algorithms