Skip to main content

What is Artificial Intelligence,its type and applications


AI is a part of Computer Science.AI is anything that makes machine more intelligent. AI is a technology which can not replace human intelligence but rather it can extend human capabilities.Now a days AI is most wanted and powerful technology.Every industry wants to have its AI system because it can process very large amount of data in less time.

How does AI learn ?

The intelligence which machine having is only provided by us.So basically we provide to machine  ability to examine and create machine learning models based on inputs and desired output and we do this based on supervised learning,unsupervised learning and reinforcement learning.

Types of AI based on Strength

Weak or Narrow AI-

Narrow AI is that applied on specific domain.It can perform specific task but can not learn new things its own.It can only make decision based on programmed algorithms and trained data.For example AI powered based searches,virtual assistant,self driving cars,language translators and intelligent spam filters.

Strong and Generalized AI-

Strong is that can operate and interact wide variety and of independent and unrelated task.It can learn new task to solve new problems and can teach itself new strategies.Generalized AI is combination of many AI techniques that can perform human level of intelligence like It can learn from the past experiences as human does.

Super and conscious AI-

Super AI is that which can operate human level consciousness which would require to be self aware.
Because we are not able to define the exact level of consciousness.

Application of Artificial intelligence-

AI in Health care-
  • In last recent years AI has given lot of advantages to heath industry as diagnosis a disease faster than human.
AI in Natural Language Processing-
  • AI has enable computer to interact with human to under the Natural language of human beings.
  • Personal AI Assistant which can book a table in hotel for you and lot more.
AI in Robotics-
  • Robotics use the wide range of AI in Robot like Machine Learning,deep learning ,Natural language processing,Computer Vision,Face recognition and lot more.


Comments

  1. Hi Muzahid,
    Such an amazing article.
    It's interesting to read more about how AI can be used in the every industry.
    You would love to see my python course duration and fees in pune site as well.
    Thanks once again.

    ReplyDelete

Post a Comment

Popular posts from this blog

ANN in depth

Artificial Neural Network Layers Artificial Neural network is typically organized in layers. Layers are being made up of many interconnected ‘nodes’ which contain an  ‘activation function’.  A neural network may contain the following 3 layers: a. Input layer The purpose of the input layer is to receive as input the values of the explanatory attributes for each observation. Usually, the number of input nodes in an input layer is equal to the number of explanatory variables. ‘input layer’ presents the patterns to the network, which communicates to one or more ‘hidden layers’. The nodes of the input layer are passive, meaning they do not change the data. They receive a single value on their input and duplicate the value to their many outputs. From the input layer, it duplicates each value and sent to all the hidden nodes. b. Hidden layer The  Hidden layers  apply given transformations to the input values inside the network. In this, incoming arcs that go from other hidden

Can AI be dangerous

CAN AI BE DANGEROUS? Most researchers agree that a superintelligent AI is unlikely to exhibit human emotions like love or hate, and that there is no reason to expect AI to become intentionally benevolent or malevolent.  Instead, when considering how AI might become a risk, experts think two scenarios most likely: The AI is programmed to do something devastating:   Autonomous weapons are artificial intelligence systems that are programmed to kill. In the hands of the wrong person, these weapons could easily cause mass casualties. Moreover, an AI arms race could inadvertently lead to an AI war that also results in mass casualties. To avoid being thwarted by the enemy, these weapons would be designed to be extremely difficult to simply “turn off,” so humans could plausibly lose control of such a situation. This risk is one that’s present even with narrow AI, but grows as levels of AI intelligence and autonomy increase. The AI is programmed to do something beneficial, but it d

What is ANN and CNN

An artificial neural network is a collection of smaller units called neurons, which are computing units modeled on the way the human brain processes information. Artificial neural networks borrow some ideas from the biological neural network of the brain, in order to approximate some of its processing results. These units or neurons take incoming data like the biological neural networks and learn to make decisions over time. Neural networks learn through a process called backpropagation. Backpropagation uses a set of training data that match known inputs to desired outputs. First, the inputs are plugged into the network and outputs are determined. Then, an error function determines how far the given output is from the desired output. Finally, adjustments are made in order to reduce errors. A collection of neurons is called a layer, and a layer takes in an input and provides an output. Any neural network will have one input layer and one output layer. It will also have one or more