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.