Artificial Intelligence Interview Questions – Set 02

List the key components of LSTM.

  • Gates (forget, Memory, update, and Read)
  • Tanh(x) (values between −1 and 1)
  • Sigmoid(x) (values between 0 and 1)

Why do we need Artificial Intelligence?

The goal of Artificial intelligence is to create intelligent machines that can mimic human behavior. We need AI for today’s world to solve complex problems, make our lives more smoothly by automating the routine work, saving the manpower, and to perform many more other tasks.

What are the various techniques of knowledge representation in AI?

Knowledge representation techniques are given below:

  • Logical Representation
  • Semantic Network Representation
  • Frame Representation
  • Production Rules

What are the different domains/Subsets of AI?

AI covers lots of domains or subsets, and some main domains are given below:

  • Machine Learning
  • Deep Learning
  • Neural Network
  • Expert System
  • Fuzzy Logic
  • Natural Language Processing
  • Robotics
  • Speech Recognition.

Which assessment is used to test the intelligence of the machine?

Turing Test.

What are applications of Expert System?

a. Design Domain
Basically, we use expert systems in designing of camera lens and automobile.
b. Monitoring Systems
Generally, in this data is compared with observed system
c. Process Control Systems
We have to control physical process based on monitoring
d. Knowledge Domain
Finding out faults in vehicles, computers
e. Finance Commerce
Also, an expert system is used to detect possible fraud.

What is knowledge representation in AI?

Knowledge representation is the part of AI, which is concerned with the thinking of AI agents. It is used to represent the knowledge about the real world to the AI agents so that they can understand and utilize this information for solving the complex problems in AI.

Following elements of Knowledge that are represented to the agent in the AI system:

  • Objects
  • Events
  • Performance
  • Meta-Knowledge
  • Facts
  • Knowledge-base

What are frames and scripts in “Artificial Intelligence”?

Frames are a variant of semantic networks which is one of the popular ways of presenting non-procedural knowledge in an expert system. A frame which is an artificial data structure is used to divide knowledge into substructure by representing “stereotyped situations’. Scripts are similar to frames, except the values that fill the slots must be ordered. Scripts are used in natural language understanding systems to organize a knowledge base in terms of the situation that the system should understand.

What is Artificial Intelligence?

is a field of computer science wherein the cognitive functions of the human brain are studied and tried to be replicated on a machine/system. Artificial Intelligence is today widely used for various applications like computer vision, speech recognition, decision-making, perception, reasoning, cognitive capabilities, and so on.

What’s selection bias? What other types of biases could you encounter during sampling?

When you’re dealing with a non-random sample, selection bias will occur due to flaws in the selection process. This happens when a subset of the data is consistently excluded because of a particular attribute. This exclusion will distort results and influence the statistical significance of the test.

Other types of biases include survivorship bias and undercoverage bias. It’s important to always consider and reduce such biases because you’ll want your smart algorithms to make accurate predictions based on the data.