6 Applications Of Ai

Artificial Intelligence · Unit 6 · 6 hrs

Applications of AI

Exam-focused notes for Applications of AI (Artificial Intelligence, CSC266): what the TU syllabus asks and how it has actually been tested, with 11 solved past questions from this unit.

What this unit covers

  • Expert Systems
  • Development of Expert Systems
  • Natural Language Processing: Natural Language Understanding and Natural Language Generation, Steps of Natural Language Processing
  • Machine Vision Concepts
  • Robotics

Robotics

20815 marks

What is robotics? How machine vision is used in robotics? [5]

Robotics is a branch of Artificial Intelligence that deals with the design, construction, operation, and application of robots. A robot is an intelligent agent that perceives its environment through sensors and performs physical actions in the real world th...

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Expert Systems

20805 marks

Describe the components of expert system. [5]

An expert system is a computer program designed to solve complex problems and provide decision-making ability like a human expert. It extracts knowledge from its knowledge base using reasoning and inference rules according to user queries. --- An expert sys...

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20785 marks

What is expert system? How its works? Mention role of inference engine in expert system. [5]

An expert system is a computer program that is designed to solve complex problems and to provide decision-making ability like a human expert. It performs this by extracting knowledge from its knowledge base using reasoning and inference rules according to t...

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Natural Language Processing

20805 marks

Why pragmatic analysis is necessary in NLP? How pragmatic analysis is done? [5]

Pragmatic analysis is necessary in NLP because language is not always used literally. The same sentence can mean different things depending on the context, situation, speaker's intent, and background knowledge. Without pragmatic analysis, an NLP system woul...

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20795 marks

How syntactic and semantic analyses are performed in natural language processing? [5]

Natural Language Processing (NLP) is a technology that involves converting spoken or written language into a form which can be processed by computers and vice-versa. Within Natural Language Understanding (NLU), the system needs to disambiguate the input sen...

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20785 marks

How semantic and pragmatic analysis is done in natural language processing. [5]

Natural Language Processing (NLP) is a technology that involves converting spoken or written language into a form which can be processed by computers and vice-versa. To understand natural language, a system must pass through several levels of analysis, incl...

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20765 marks

How syntactic and semantic analysis is done during natural language processing? Explain with example. [5]

Natural Language Processing (NLP) requires multiple levels of analysis to convert human language into machine-understandable representations. Among these, syntactic analysis and semantic analysis are two critical stages in Natural Language Understanding (NL...

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2080.15 marks

How natural language generation differs from natural language understanding? How morphological analysis is done in NLP? [5]

--- According to the notes, NLP is composed of two parts: NLU and NLG. Aspect NLU (Natural Language Understanding) NLG (Natural Language Generation) --------- Definition The process of mapping given inputs in natural language into useful (machine) represent...

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Development of Expert Systems

207910 marks

Define Expert System with example. What are stages of expert system development? Explain.[10]

--- An Expert System is a computer program that simulates the judgment and behavior of a human expert or an organization that has expert knowledge and experience in a particular field. It is a knowledge-based system that uses a collection of knowledge (stor...

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Machine Vision Concepts

20765 marks

How the concept of machine vision are used in Robotics to configure sensors of Robots? [5]

Machine vision is a branch of Artificial Intelligence that enables robots to interpret and understand visual information from their surroundings. It plays a central role in configuring and enhancing the sensory capabilities of robots, allowing them to perce...

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2080.15 marks

What is machine vision? Describe the components of machine vision. [5]

Machine vision is the ability of a computer to "see". A machine vision system employs one or more video cameras, analog-to-digital conversion (ADC), and digital signal processing (DSP). The resulting data goes to a computer or robot controller. It uses diff...

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