Artificial Intelligence Quiz 2

What significant milestone did Deep Blue achieve in 1997?

• It became the first AI system to beat the world chess champion, Garry Kasparov
  

• It performed the first AI-based space exploration
  

• It solved the protein folding problem
  

• It was used for AI-based weather prediction
  

In which layer of an Artificial Neural Network (ANN) do neurons receive inputs from the outside environment?

• Input Layer

• Hidden Layer

• Output Layer

• Activation Layer

What does CAPTCHA stand for?

• Computer Automated Program to Test Humans

• Completely Automatic Public Test to Tell Computers Apart

• Completely Automated Public Turing Test to Tell Computers and Humans Apart

• Computer Assistance Program for Testing Humans

Which of the following is NOT an application of computer vision?

• Image Recognition

• Speech Recognition

• Object Detection

• Facial Recognition

CAPTCHA is primarily used for which purpose?

• Data encryption

• Spam prevention

• Malware detection

• Network security

Which of the following is a key benefit of using AI in computer vision systems?

• Reduces processing time

• Ensures 100% accuracy

• Replaces all human operators

• Increases subjective interpretation

CAPTCHA often asks users to identify objects in images. What AI field does this resemble?

• Machine Learning

• Natural Language Processing

• Reinforcement Learning

• Computer Vision

How was Artificial Intelligence used in the Tokyo 2020 Olympics?

• For athlete performance prediction
  

• For providing instant language translation services
  

• For automatic scoring in gymnastics and boxing
  

• For security surveillance and monitoring
  

What is IBM’s Deep Blue known for?

• Being the first AI to defeat a human in a chess game
  

• Being the AI used in space exploration
  

• Being the first AI to pass the Turing test
  

• Being used in weather prediction models
  

Which of the following AI technologies was used in the Olympics for real-time athlete tracking?

• Image-based motion analysis
  

• Machine learning algorithms for predicting gold medal winners
  

• Robotic assistants for coaches
  

• Deep learning models for identifying injuries