Artificial Intelligence MCQ Quiz in தமிழ் - Objective Question with Answer for Artificial Intelligence - இலவச PDF ஐப் பதிவிறக்கவும்

The correct answer is option 1.

Concept:

Artificial intelligence:

Artificial intelligence (AI) is the capacity of a computer or a robot controlled by a computer to do activities that normally require human intelligence and judgment.

• Python is widely used in artificial intelligence, having packages for general AI, machine learning, natural language processing, and neural networks, among others.
• Machine Learning is the use of artificial intelligence to create algorithms that do human-like tasks and mimic human abilities. Artificial Intelligence and Machine Learning are intertwined and frequently utilized nowadays.
• Several specialized programming languages for artificial intelligence have been created by artificial intelligence researchers those are,
  •      Python
  • LISP
  • R
  • Prolog
  • C++
  • JavaScript
  • Java
  • Haskell
  • Julia     

Hence the correct answer is Python.

The correct answer is Artificial Neural Network

 Key Points

• Artificial Neural Networks (ANNs) form the basis of deep learning.
• Inspired by the structure and function of the human brain, ANNs comprise connected nodes, or "neurons." Unlike the decision trees and random forests of traditional machine learning, ANNs can learn complex patterns and representations by processing the data through these interconnected neurons in multiple layers, hence making them the fundamental building blocks of deep learning.

Additional Information

•   Unlike other machine learning algorithms, artificial neural networks try to simulate the human brain's functioning to make predictions or decisions.

Key Points

 Dimensionality reduction refers to techniques that reduce the number of input variables in a dataset. More input features often make a predictive modeling task more challenging to model, more generally referred to as the curse of dimensionality.

There are several dimensionality reduction methods that can be used with different types of data for different requirements

• Principal Component Analysis
• Linear Discriminant Analysis
• Factor Analysis

Hence the correct answer is Correlation Analysis.

Additional Information Correlation analysis is used to quantify the degree to which two variables are related. Through the correlation analysis, you evaluate the correlation coefficient that tells you how much one variable changes when the other one does. Correlation analysis provides you with a linear relationship between two variables.

The correct answer is Abstraction

Key PointsAbstraction is the process of removing detail from a given state representation. It is a key concept in AI as it allows AI systems to focus on the most important aspects of a problem and ignore the less important details.

For example, a representation of a car could include the following levels of detail:

• Low-level representation: This representation would include all of the details of the car, such as the make, model, year, color, and VIN number.
• Medium-level representation: This representation would include some of the details of the car, such as the make, model, and year.
• High-level representation: This representation would include only the most important details of the car, such as the make and model.

An AI system could use different levels of abstraction to solve different problems. For example, if the AI system was trying to identify a car, it could use the low-level representation to identify the make, model, and year of the car. If the AI system was trying to decide whether or not to buy a car, it could use the medium-level representation to identify the make, model, and year of the car, as well as the price. Abstraction is a powerful tool that can be used to solve a wide variety of problems.

The correct answer is Lisp

Key Points

• Lisp: Known for its symbolic manipulation capabilities, Lisp has a historical association with early AI research due to its suitability for tasks involving symbolic reasoning.

Additional Information

• Perl: While a versatile language, Perl is not as commonly associated with AI as other languages. It is more widely used in web development, system administration, and text processing.
• Prolog: Designed for logic programming, Prolog is used in AI for tasks requiring rule-based systems and knowledge representation, making it suitable for certain AI applications.
• C++: A general-purpose language with a focus on efficiency, C++ is used in AI for performance-critical components, though it is not as predominant as languages like Python or Lisp in AI development.

The correct answer is Speech recognition

Key Points

• The technology that allows chatbots to interact in spoken language involves a combination of several elements, but the key component for understanding and processing spoken language is Speech Recognition. 
• However, it's worth noting that the effectiveness of chatbots in spoken language interaction often relies on other technologies as well, such as Natural Language Understanding (NLU), which helps in comprehending the meaning and context of user input. Machine learning algorithms and sequence-to-sequence neural networks can also play roles in enhancing the overall performance of spoken language interaction for chatbots.

The correct answer is option 2.

Key Points:Concept:​

• John McCarthy, the father of AI, were to coin a new phrase for "artificial intelligence" today, he would probably use "computational intelligence."
• McCarthy is not just the father of AI, he is also the inventor of the Lisp (list processing) language.
• John McCarthy was a computer scientist and cognitive scientist from the United States.
• McCarthy was a pioneer in the field of artificial intelligence.
• He co-wrote the paper that popularized the term "artificial intelligence" (AI), created the Lisp programming language family, impacted the design of the ALGOL computer language, promoted time-sharing, and devised garbage collection.

Hence the correct answer is John McCarthy.

Additional Information

• Ada M. Fisher is a retired physician from Salisbury, North Carolina, who has run for office several times as a Republican.
• Alan Mathison Turing was a mathematician, computer scientist, logician, cryptanalyst, philosopher, and theoretical biologist from the United Kingdom.
• Allen Newell worked at the RAND Corporation and Carnegie Mellon University's School of Computer Science, Tepper School of Business, and Department of Psychology as a computer science and cognitive psychology researcher.

The correct answer is Clustering -> unknown data set

EXPLANATION:

• Typically, clustering is used to analyze or group an unknown data set based on similarities and differences in the data.
• Classification usually predicts categorical class labels (not necessarily continuous data).
• Regression generally predicts a continuous output (not necessarily discrete data sets),
• Decision trees can handle both discrete and continuous data, not just discrete data.

The correct answer is Artificial Neural Network

 Key Points

• Artificial Neural Networks (ANNs) form the basis of deep learning.
• Inspired by the structure and function of the human brain, ANNs comprise connected nodes, or "neurons." Unlike the decision trees and random forests of traditional machine learning, ANNs can learn complex patterns and representations by processing the data through these interconnected neurons in multiple layers, hence making them the fundamental building blocks of deep learning.

Additional Information

•   Unlike other machine learning algorithms, artificial neural networks try to simulate the human brain's functioning to make predictions or decisions.

The correct answer is option 1.

Artificial Intelligence system is the composed of agent and its environment. Agent takes input from its Environment through sensor and sends its reaction to environment through actuator.

Simple Reflex agent : take decisions on the basis of the current environment and ignore the history.

Model-based reflex agent : work partially in the observable environment, and track the situation.

Goal-based agents :  needs to know its goal that describes advisable situations.

Utility-based agents : acts based not only goal but also the best possible way to achieve it.

Learning Agents : learn from its past experiences, or it has learning capabilities.