Arvind Yadav
Explain the different domains of Artificial Intelligence.

Explain the different domains of Artificial Intelligence.

By Arvind Yadav in AI on Mar 24 2022
  • Suman Saini
    May, 2022 24

    Different domains of Artificial intelligence(AI)
    Somen DasNovember 19, 2020
    different domains of artificial intelligence image

    Artificial intelligence is a computer system that is able to perform tasks that ordinarily require human intelligence.

    Artificial intelligence systems are critical for companies that wish to extract value from data by automating and optimizing processes or producing actionable insights.

    There are certain domains of artificial intelligence on which we can create our expertise
    Machine learning
    Deep learning
    Robotics
    Expert systems
    Fuzzy logic
    Natural language processing
    Computer vision

    1. Machine learning
      machine learning image, robot reading a book

    Machine learning is a subset of artificial intelligence.
    Machine learning enables computers or machines to make data-driven decisions rather than being explicitly programmed for a certain task.
    These programs or algorithms are designed in a way that they learn and improve over time when are exposed to new data.

    Different types of machine learning models
    Supervised learning
    Unsupervised learning
    Reinforcement learning
    Use cases
    Product recommendation on a shopping website.
    spam filter on email.
    Chatbots

    1. Deep learning
      deep learning, robot observing an apple,

    Deep learning is artificial intelligence (AI) function that imitates the working of the human brain in processing data and creating patterns for use in decision making.

    Deep learning is a subset of machine learning in artificial intelligence that has network capable of learning unsupervised from data that is unstructured or unlabeled also known as deep neural learning or deep neural network.

    Different types of deep learning models
    Autoencoders
    Deep belief net
    Convolutional neural network
    Recurrent neural network
    Reinforcement learning to neural network
    Use cases
    Driverless vehicles
    Virtual assistants
    chatbots
    Medical research
    Facial recognition

    1. Robotics
      robot is controlled by remote

    Robotics is a branch of engineering that involves the conception, design, manufacture, and operation of robots.
    This fields overlaps with electronics, computer science, artificial intelligence, mechatronics, nanotechnology and bioengineering.
    Different types of robots
    Pr-programmed robots
    Humanoid robots
    Autonomous robots
    Teleoperated robots
    Augmenting robots
    Use cases
    Manufacturing
    Logistics
    Healthcare
    Home

    1. Expert system
      expert system, a man operating system

    An expert system is a program that uses artificial intelligence technology to simulate the knowledge and judgement of humans.
    Expert systems usually include a subject-specific knowledge base and can have additional modules added to expand their capacities.

    Different types of expert systems
    Rule-based systems
    Frame-based systems
    Hybrid systems
    Model-based systems
    Off the shelf systems
    Custom made systems
    Use cases
    In the medical field
    In the agriculture field
    In the education field

    1. Fuzzy logic
      Fuzzy logic image, a robot playing chess

    Fuzzy logic is a method of reasoning that resembles human reasoning. The approach of fuzzy logic imitates the way of decision making in humans that involves all intermediate possibilities between digital values yes or no.

    The conventional logic block that a computer can understand takes precise input and produces a definite output as true or false which is equivalent to human’s yes or no.

    Different types of fuzzifier
    Singleton fuzzifier
    Gaussian fuzzifier
    Trapezoidal or triangular fuzzifier
    Use cases
    Psychology
    Pattern recognition and classifications
    Securities
    Medical
    Marine
    Finance

    1. Natural language processing
      natural language processing, conversation between men and women

    Natural language processing is a branch of artificial intelligence that helps the computers understand interpret and manipulate human language.

    Natural language processing draws from many disciplines including computers science and computational linguistics in its pursuit to fill the gap between human communication and computer understanding.

    Different types of Natural language processing(NLP)
    Optical character recognition
    Speech recognition
    Machine translation
    Natural language generation
    Sentiment analysis
    Semantic search
    Machine learning
    Use cases
    Email filter
    Smart assistants
    Search results
    Predictive text
    Language translation
    Digital phone calls
    Text analytics

    1. Computer vision
      computer vision image

    Today, computer vision is one of the hottest subfields of artificial intelligence and machine learning given its wide variety of applications and tremendous potential. It’s a goal to replicate the powerful capacities of human vision.

    Computer vision system must recognize the present objects and their characteristics such as shapes textures, colours, sizes, spatial arrangement, among other things to provide a description as complete as possible of the image.

    Different techniques of computer vision
    Image classification
    Object detection
    Object tracking
    Semantic segmentation
    Instance segmentation
    Use cases
    Defect detection
    Metrology
    Intruder detection
    Assembly verification
    Screen reader

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