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Three Domains of AI

By : Ch.Hasini

Data

Data

Data in artificial intelligent systems refers to the data that is right for the AI systems in question.

Example

A system developed for recognising the images of students will not be able to find any data of animal faces useful

Current AI systems cannot be developed or made functional without adequate data

.....

Example

An image recognising AI will need to be trained on data containig images and items in the images

Types of Data

Text Data

for automatic classifying systems

Types of Data

Artificial intelligence uses different purposes

For example

Image and Video Data

for computer vision systems

Sound Data

For voice recognition systems

Computer Vision (CV)

Computer Vision

(CV)

Computer Vision is a technology thart is used for making machines see and perceive the human world as human beings do. This requres images or visual data, The development of Computer Vision is progressing as fast as pace. There is a great demand for applications that are capable of detecting and identifying objects from images or videos, such applications have multiple uses

Uses of CV technology

Uses for Computer Vision techonlogy include :

  • Face Recognition : It is used for applying filters and recongnising images, Google Photos, Snapchat, Facebook, etc. are using this technology
  • Image Retrieval :It used for identifying the images of objects. Search engines like google, Bing, etc, use this technology to provide results of image searches. There are even algorithms that can provide results based on image used for scearching
  • Gaming and Controls : Microsoft Kinect is one of the best examples of a sucessful commercial product based on AI, other exmaples include games like Emoji Scavenger Hunt.
  • Surveillance : It includes identifying criminals, or illegal or suspecious behaviour, etc, fro video feed
  • Smart Cars : Self driving vechicles will need this technology for detecting traffic signs, lights, other vechicles, etc

Natural Language Processing (NLP) :

Natural Language Processing

(NPL)

The Third domain of AI is Natural Language Proessing. It works on enabling the computers to understand naturally written spken languages, like English or Hindi. Tis will make computers capable of natural communication

For AI systems, NLU is more difficult than NLG. Interestingly, human beings find NLU easir than NLG

Components of NLP

Natural Language Understanding

Components of NLP

Natural Language Geration

NLU

Natural Language Understanding

(NLU)

Natural Language Processing (NLU) : This component deals with understanding spoken or written language

It Involves :

  • Establishing linkage wth natural language inputs and what they represent
  • Analysing different aspects of language

NLG

Natural Language Generation

(NLG)

Natural Language Generation (NLG) :

This component involves the process of producing meaningful phrases and sentences in form of natural language form some internal representation

It Includes :

  • Text Planning : Retriving relevant text from the data stores
  • Sentence planning : Deciding on the correct words, linking them into meaningful phrease, etc
  • Text Realisation : Combing phases and words for forming sentences
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