Artificial Intelligence Interview Questions

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Artificial Intelligence Interview Questions for Freshers

Artificial Intelligence Interview Questions

What is Artificial Intelligence?

Artificial intelligence (AI) is pushing the boundaries of machine-enabled functionalities. This bleeding-edge technology facilitates machines to act with a degree of autonomy, resulting in effective execution of iterative tasks.

What are Applications of Artificial Intelligence?

  • AI in Astronomy
  • AI in Healthcare
  • AI in Gaming
  • AI in Finance
  • AI in Data Security
  • AI in Social Media
  • AI in Travel & Transport
  • AI in Automotive Industry
  • AI in Robotics
  • AI in Entertainment
  • AI in Agriculture
  • AI in E-commerce
  • AI in education

Whats are types of Artificial Intelligence?

Artificial Intelligence can be divided into various types, there are mainly two types of main categorization which are based on the capabilities of AI.

  • Artificial Intelligence type-1: Based on Capabilities
  • Artificial Intelligence type-2: Based on functionality

Artificial Intelligence: Based on Capabilities

  • Weak AI or Narrow AI
  • Normal Artificial Intelligence
  • Super Artificial Intelligence

Artificial Intelligence: Based on functionality

  • Reactive Machines
  • Limited Memory
  • Theory of Mind
  • Self-Awareness

What are the disadvantages of breadth-First Search Algorithm?

It consumes a lot of memory space. As each level of nodes is saved for creating the next one. Its complexity depends on the number of nodes. It can check duplicate nodes.

What are the disadvantages of Depth-First Search Algorithm?

As the algorithm may not terminate and go on infinitely on one path. Hence, a solution to this issue is to choose a cut-off depth. If the ideal cut-off is d, and if the chosen cut-off is lesser than d, then this algorithm may fail. If the chosen cut-off is more than d, then execution time increases. Its complexity depends on the number of paths. It cannot check duplicate nodes.

What is Local Search Algorithms?

Basically, it’s Popular Search Algorithms. Also, a prospective solution. Further, moves to a neighboring solution. Moreover, returns a valid solution.

Why Do We Need N.L.P?

With this, we can perform certain tasks such as Automated speech and automated text writing in less time. Moreover, these tasks include too many NLP applications. For Example:

  • Automatic Summarization (to generate summary of given text)
  • Machine Translation (translation of one language into another)


Artificial Intelligence Artificial Intelligence

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