Q27.Marks: +2.0UGC NET Paper 2: Computer Science 18th June 2024 Shift 1 (Cancelled)
Arrange the following examples of Artificial Intelligence (AI) in the order of increasing complexity :
A. Spam email detection using rule-based systems.
B. Handwritten digit recognition using shallow neural networks.
C. Image classification using convolutional neural networks.
D. Autonomous driving using reinforcement learning algorithms.
Choose the correct answer from the options given below :
1.A, B, C, D✓ Correct
2.B, A, C, D
3.A, B, D, C
4.B, C, A, D
Solution
The correct answer is A, B, C, D
Key Points
To arrange the examples of Artificial Intelligence (AI) in the order of increasing complexity, let's understand the logical sequence:
Spam email detection using rule-based systems (A)
This is the simplest form of AI among the given options. Rule-based systems use predefined rules to identify spam emails.
Handwritten digit recognition using shallow neural networks (B)
This involves a basic neural network with a few layers to recognize handwritten digits. It is more complex than rule-based systems but simpler than convolutional neural networks.
Image classification using convolutional neural networks (C)
Convolutional neural networks (CNNs) are specialized for processing structured grid data like images. They are more complex due to their layered architecture designed to capture spatial hierarchies in images.
Autonomous driving using reinforcement learning algorithms (D)
This is the most complex form of AI among the options provided. Reinforcement learning involves training an agent to make a sequence of decisions by rewarding desired behaviors and penalizing undesirable ones. Autonomous driving requires real-time decision-making and adaptation to dynamic environments.
