Artificial intelligence

Artificial intelligence(AI) refer to the simulation of human intelligence in machines that are programmed to think like humans its makes possible for machine to learn from experience, adjust to new inputs and perform human like tasks.

Artificial intelligence(AI) refers to the simulation of human intelligence in machines that are programmed to think like humans it makes it possible for the machine to learn from experience, adjust to new inputs and perform human-like tasks. There many examples of AI- From chess-playing computer, self-driving cars. Using these technologies, computers can be trained to accomplish specific tasks by processing large amounts of data.

Artificial intelligence systems are powered by algorithms, using techniques such as machine learning, deep learning and rules. Machine learning algorithms feed computer data to AI systems, using statistical techniques to enable AI systems to learn. Through machine learning, AI systems get progressively better at tasks, without having to be specifically programmed to do so. 

Artificial Intelligence History:

Intelligent robots and artificial beings first appeared in the ancient Greek myths of Antiquity. Aristotle’s development of the syllogism and its use of deductive reasoning was a key moment in mankind’s quest to understand its own intelligence. While the roots are long and deep, the history of artificial intelligence as we think of it today spans less than a century. The following is a quick look at some of the most important Dates in AI. 

image soure – Google | image by- DATAFLAIR TEAM

Types of Artificial Intelligence

AI technologies are categorized by their capacity to mimic human characteristics, the technology they use to do this, their real-world applications, and the theory of mind, which we’ll discuss in more detail below.

1. Artificial narrow intelligence (ANI)

Artificial narrow intelligence(ANI) is also referred to as Narrow AI or Weak AI, is a type of AI is one that focuses on a particular single narrow task.  It possesses a narrow-range of abilities. ANI is the only type of artificial intelligence we have successfully realized to data

Examples of narrow AI:

  • Google Search
  • Siri by Apple, Alexa by Amazon, Cortana by Microsoft and other virtual assistants
  • face recognition software
  • Email spam filters
  • Self-driving cars

2. Artificial general intelligence (AGI)

Artificial General Intelligence (AGI) technology would be on the level of a human mind Smarter and think its own. There is no such system exist which could come under AGI and perform tasks as perfect as a human. The worldwide researchers are now focused on developing machines with General AI.it will take time and lots of effort to develop such as systems.

3. Artificial super intelligence (ASI)       

Artificial Super Intelligence has the capability to perform tasks that are impossible for the human mind to think or do. ASI technology would have to be more capable than a human in every single way possible. Not only could these AI things carry out tasks, but they would even be capable of having emotions and relationships.

This type of AI will be able to perform extraordinary well at things such as arts, decision making, and emotional relationships. These things are today part of what differentiates a machine from a human. Super AI is still a hypothetical concept of Artificial Intelligence. The development of such systems in real is still a world-changing task.

Machine learning:

Machine learning is a kind of Artificial intelligence that enables computers to think and learn on their own. It means computers have to learn on their own with the help of a machine learning algorithm. This enables the computer to recognize the patterns in the example data, build models to optimize its performance, and predict the outcomes.

The following tasks perform by ML

  • Finding, extracting and summarizing relevant data
  • Calculating probabilities for specific results
  • Optimizing processes based on recognized patterns
  • Adapting to  certain developments autonomously

Deep Learning:

Machine learning and deep learning are subsets of artificial intelligence, but deep learning represents the next evolution of machine learning in Artificial Intelligence. Deep learning is a machine learning technique that teaches computers to do what comes naturally to humans from their past experiences.

  • Applications of deep learning
  • Automatic colorization of Black and White images
  • Automatic machine Translation
  • Object Classification and Detection in photographs
  • Automatic Handwriting Generation
  • Automatic  Game Playing
Mr. Sundar Pichai, the CEO of Google once said that everything in Google is going to be AI centered which could mean that AI will create numerous job opportunities that will require creativity, critical thinking skills, and much more.

The Future of Artificial Intelligence

The future Artificial Intelligence (AI) has the possibility to change the world. While from the time when the Turing Analysis was introduced, computers have become so smart. Artificial intelligence is impacting the future of virtually every industry and every human being. Its intelligence has acted as the main driver of emerging technologies like big data, robotic, and IoT and it will continue to act as a technological innovator for the foreseeable future. AI is quick turning into major economic energy. Definitely it will be an essential part of human life in the future. Artificial Intelligence has various applications nowadays in society. It is becoming essential for today’s time because it can solve critical problems in an efficient way in multiple industries. AI is making our daily life more easy, comfortable, and fast.

Artificial Intelligence have alot of application and its even growing day by day, some of them are :-

1. AI in Science and Research

2. AI in Cyber Security

3. AI in Data Analysis

4. AI in Transport

5. AI in Home 

6. AI in Healthcare

We’ve reached the conclusion of our discussion. We hope you liked this article. If you have any questions on this topic or on how to become an AI professional, feel free to ask us. We’d love to hear from you.

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