Artificial Intelligence & Machine Learning Top MCQs + PYQs Bank : MCQs & PYQs with Explanation

Option B

Simulation and Modeling are techniques used to represent and study the behavior of real-world systems using computer-based models. They help in analysis, training, testing, and prediction without affecting the real system.
The Computer Table is not related to simulation and modeling. It is not a standard simulation application or model.

Option A

A Neuron is the basic functional unit of the nervous system and is also the inspiration for artificial neural networks in Artificial Intelligence (AI). Biological neurons receive signals, process them, and transmit signals to other neurons.

Option A

Pattern Recognition is a process used in Artificial Intelligence and Machine Learning to identify patterns, objects, images, sounds, or data automatically.
The pattern recognition process follows a proper sequence of steps to recognize and classify data correctly.
Data Acquisition:

• In this step, raw data is collected from different sources such as images, sensors, voice signals, or documents.

Feature Extraction:

• Important characteristics or features are extracted from the collected data.

Matching:

• The extracted features are compared with stored patterns or templates available in the database.

Classification:

• Finally, the system identifies and classifies the pattern into a specific category.

Option C

An Intelligent Editor serves as a specialized interface in artificial intelligence. It bridges the gap between human experts and computer systems.

Option B

In a Neural Network, the output produced by an individual node after it processes its inputs and applies an activation function is typically referred to as the Node Value.

Option B

In Artificial Intelligence, an agent is an entity that perceives its environment through sensors and acts upon that environment using actuators. 
Common types of AI agents include Simple Reflex Agents, Model-Based Agents, Goal-Based Agents, Utility-Based Agents, and Learning Agents.
A Learning AI Agent improves its performance by learning from past experiences, and a Goal-Based AI Agent selects actions to achieve specific goals. However, Unity Based AI Agent is not a recognized type of AI agent in artificial intelligence theory.

Option A

In a Neural Network, an Axon is responsible for transmitting signals or output from one neuron to another neuron.

Option A

ChatGPT is based on a type of artificial intelligence model designed for understanding and generating human-like text. The GPT stands for Generative Pre-trained Transformer. The term GPT describes the working nature of this model. 
“GENERATIVE” means it can generate or create new content, “PRE-TRAINED” means it is trained on large amounts of data before being used for specific tasks, and “TRANSFORMER” refers to the deep learning architecture used to process and understand language.

Option A

In a biological neural system, an axon is a long cylindrical part of a neuron that carries electrical impulses away from the cell body to other neurons, muscles, or glands.
The axon helps in communication between neurons by transferring nerve impulses from one neuron to another.
Artificial Neural Networks (ANN) are inspired by the structure and working of biological neurons.

Option C

Two Finite State Machines (FSMs) are considered equivalent if they produce the same output behavior for all possible inputs. 
In the case of automata theory, this means both machines accept or recognize the same language (set of strings/tokens), even if their internal structure (number of states or transitions) is different.

Option C

A Decision Tree is a supervised machine learning algorithm used for predictive modeling. It represents decisions and their possible outcomes in the form of a tree structure, where internal nodes represent tests on attributes, branches represent outcomes of the tests, and leaf nodes represent final predictions.
Decision trees can be used for classification tasks, where the output is a discrete class label (spam or not spam), and for regression tasks, where the output is a continuous numerical value (predicting house prices). Therefore, decision trees are suitable for both classification and regression problems.

Option B

LISP is one of the oldest high-level programming languages and is mainly used in Artificial Intelligence (AI) applications. The name LISP comes from “List Processing” because the language is specially designed to process lists of data.
LISP USED IN:

• Artificial Intelligence.
• Expert Systems.
• Symbolic Processing.
• Machine Learning research.

Option A

The Government of India has launched an AI-based language translation initiative called Bhashini under the National Language Translation Mission (NLTM).
Its aim is to enable easy access to digital services and content in multiple Indian languages using Artificial Intelligence (AI) and Natural Language Processing (NLP).

Option D

Computational Linguistics is a field of computer science and artificial intelligence that deals with the interaction between computers and human languages. It focuses on enabling computers to understand, process, analyze, and generate natural language.
It is used in applications such as:

• Language Translation.
• Speech Recognition.
• Chatbots.
• Text Analysis.
• Voice Assistants.

Option D

Artificial Intelligence (AI) provides several advantages in different fields. It can identify business trends and patterns in large datasets, which helps organizations make better and informed decisions. 
AI is also widely used in cybersecurity, where it helps analyze and detect unusual activities or security incidents quickly. 
In addition, AI systems have learning capabilities, allowing them to recognize patterns and solve complex problems such as image recognition, speech recognition, and data classification.