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Artificial Intelligence — Set 1

Technology · कृत्रिम बुद्धिमत्ता · Questions 110 of 40

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1

Which sub-field of Artificial Intelligence focuses on enabling computers to understand and process human language?

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Correct Answer: A. Natural Language Processing

Natural Language Processing (NLP) is the technology used to aid computers in understanding human speech and text. It involves tasks like translation, sentiment analysis, and speech recognition. Modern virtual assistants rely heavily on this basic AI concept.

2

What is the primary goal of supervised learning in Artificial Intelligence?

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Correct Answer: C. Predicting outcomes based on labeled data

Supervised learning uses a known dataset with labels to train algorithms for accurate predictions. The model learns a function that maps an input to an output based on example pairs. This is a fundamental technique used in email spam filtering.

3

In AI, what does the 'Turing Test' primarily measure?

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Correct Answer: C. A machine's ability to exhibit intelligent behavior

The Turing Test was proposed by Alan Turing to determine if a machine can think like a human. It evaluates if a human evaluator can distinguish between a machine and a human during a conversation. It remains a historic benchmark in the field of AI philosophy.

4

Which type of AI is designed to perform a specific, single task like facial recognition?

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Correct Answer: D. Narrow AI

Narrow AI, also known as Weak AI, is specialized to handle one specific problem efficiently. Most AI applications used in daily life today fall under this category. It does not possess consciousness or a broad range of human abilities.

5

What is the term for a set of rules or instructions a computer follows to solve a problem in AI?

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Correct Answer: D. Algorithm

An algorithm is the logical procedure used by AI models to process data and reach conclusions. In machine learning, algorithms adapt and improve as they are exposed to more information. They are the building blocks of all software-driven intelligence.

6

What is the primary function of a 'Neural Network' in Artificial Intelligence?

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Correct Answer: A. Miming the structure of the human brain to find patterns

Neural networks are computational models inspired by the biological neurons in the human brain. They consist of layers of interconnected nodes that process information hierarchically. This structure is essential for advanced deep learning applications.

7

Which concept involves AI learning from its own mistakes through a system of rewards and penalties?

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Correct Answer: C. Reinforcement Learning

Reinforcement learning allows an AI agent to learn by interacting with an environment to maximize rewards. It is commonly used in training AI to play complex games like Chess or Go. The agent continuously refines its strategy based on the feedback received.

8

Which of these is a real-world application of Computer Vision?

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Correct Answer: D. Identifying objects in a self-driving car's path

Computer Vision is a field of AI that trains computers to interpret and understand the visual world. It uses digital images from cameras and videos to accurately identify and react to objects. It is the core technology behind facial recognition and medical imaging.

9

What does the term 'Big Data' refer to in the context of training AI models?

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Correct Answer: A. Extremely large datasets analyzed computationally

The correct answer is 'Extremely large datasets analyzed computationally'. Big Data provides the vast amount of information required for AI systems to learn patterns. Without sufficient data, most modern AI algorithms cannot achieve high accuracy. It is characterized by high volume, velocity, and variety.

10

Which AI category describes a machine with the ability to perform any intellectual task a human can do?

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Correct Answer: C. Artificial General Intelligence

Artificial General Intelligence (AGI) is a theoretical form of AI that matches human cognitive abilities. Unlike Narrow AI, AGI could apply knowledge across different domains without specific training. Achieving AGI is a long-term goal that remains unrealized in current technology.