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. #its_Kumar31 October 2019 at 09:35

    Good 👍

    ReplyDelete
  2. Unknown31 October 2019 at 10:39

    Good...

    ReplyDelete
  3. Unknown31 October 2019 at 10:50

    Nice work 👍

    ReplyDelete
  4. shilkaren18 September 2020 at 06:00

    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

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 programm...
1 comment
Read more

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...
Post a Comment
Read more

what is self driving car

A self-driving car (sometimes called an  autonomous car  or  driverless car ) is a vehicle that uses a combination of sensors, cameras, radar and artificial intelligence ( AI ) to travel between destinations without a human operator. To qualify as fully autonomous, a vehicle must be able to navigate without human intervention to a predetermined destination over roads that have not been adapted for its use. Companies developing and/or testing autonomous cars include Audi, BMW, Ford, Google, General Motors, Tesla, Volkswagen and Volvo. Google's test involved a fleet of self-driving cars -- including Toyota Prii and an Audi TT -- navigating over 140,000 miles of California streets and highways. AI technologies power self-driving car systems. Developers of self-driving cars use vast amounts of data from  image recognition  systems, along with  machine learning   and  neural networks , to build systems that can drive autonomously. ...
Post a Comment
Read more