Defining artificial intelligence (machine intelligence): its origins, characteristics, and uses.

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    Development of artificial intelligence.

    Although the term “artificial intelligence” was first used in 1956, it is now widely used due to increasing volumes of data, complex algorithms, and advances in computing and storage. The question “Can machines think?” Introduced by mathematician Alan Turing, it formed the basis of early machine intelligence research in the 1950s, which focused on problem-solving and symbolic methods.

    What is artificial intelligence?

    Building intelligent machines is the focus of the vast field of computer science known as artificial intelligence (AI). Jobs that usually require human intelligence can be done by these machines. Many definitions have been presented in the form of technical articles by scientists in this field around the world. For example, the technology exposes algorithms to representations that are derived from models, according to Patrick Winston, professor of computer science and machine intelligence. Reinforce the idea that their goals act as a link between thinking, perception, and action. Since these definitions may seem abstract and difficult to understand for the layman, we have discussed this topic using simpler terms and definitions. Stay with us

    Artificial intelligence is simply explained.

    If we want to define machine intelligence popularly, according to the theory of Peter Norvig and Stuart Russell, this science is defined in the following four areas:

    human thought
    Be logical in your thinking.
    Be kind to each other.
    Be reasonable
    There are four different types of artificial intelligence.
    The following section introduces four categories of artificial intelligence.

    1. Automatic machines.

    Suppose we want to summarize artificial intelligence in one sentence. In that case, we must say that a reaction machine is a machine that, as the name suggests, can use its intelligence to understand the outside world and respond to it. Because a reactive device has no memory, it cannot make decisions in the present based on the past.

    2. Small memory.

    Artificial intelligence with limited memory can store historical information and predictions while collecting data and evaluating alternative courses of action. In essence, it searches the past for hints about possible future events. This model is more complex than reactive machines and offers more opportunities. It turns out that this type of artificial intelligence has countless applications in computers and computer programs.

    There are six steps when using limited memory AI in machine learning:

    Data for training must be generated.
    Developing a machine learning model is essential.
    The model must be predictive.
    The model must be able to receive feedback from the environment or people and store that feedback as data.
    It is better to go through these steps.

    3. Theory of mind.

    In terms of artificial intelligence machines, this means that science can now understand the emotions of people, animals, and other devices and make decisions based on self-reflection and decision-making. Then, use this information to make a decision.

    4. Self-awareness.

    When the theory of mind is developed in artificial intelligence, it will be the last step for this science. With human-level awareness, this type of artificial intelligence is aware of both its presence in the world and the presence and emotional states of others. This model can be based on their level of communication and understanding of other people’s needs. Self-awareness in artificial intelligence also depends on human researchers understanding the principles of consciousness and then mastering its replication.

    Programming vs. artificial intelligence Using artificial intelligence

    Although programming and artificial intelligence have very different applications, there is an ongoing argument that programming does not require artificial intelligence. Let’s be clear that coding and AI go hand in hand and are not equivalent.

    Artificial intelligence is the only solution to create a human space. On the other hand, coding is a test of the human ability to reduce the complexity of a computer program. Building machines with artificial intelligence is a test to measure a person’s ability to imitate human behavior. Artificial intelligence is defined as the ability of machines to learn from humans and transfer that knowledge to other machines, while the purpose of programming is to create computer systems.

    Applications of artificial intelligence

    Artificial intelligence training is carried out at all levels of the global education systems, and its application is currently found in all industries and many aspects of our daily lives. In the following sections, you will see some applications of artificial intelligence that you may not be aware of.

    Advertising and online shopping

    Personalized recommendations are often given to people using AI. This technology provides different functions such as product optimization for each individual depending on, for example, previous searches, purchases, or other online behavior of users.

    A web search

    Search engines learn from vast amounts of user-supplied data to provide relevant search results.


    Mobile phones

    To provide services that are as relevant and individual as possible, smartphones use machine intelligence. These digital personal assistants are most used in our daily life.

    Translation software

    Delivering and improving translation depends on this technology for language translation software, whether based on written or spoken text. This is also true for features such as automatic subtitles.



    AI systems based on continuous data input, pattern recognition, and attack rollback can help detect and identify. Coping with Cyber attacks and other cyber threats.


    Artificial intelligence can increase the safety, efficiency and speed of rail traffic by reducing wheel friction, increasing speed, and enabling automatic driving.

    Agriculture and food.

    Using artificial intelligence, a sustainable food system can be created for countries. For example, it can ensure healthier food by minimizing irrigation, pesticides, and fertilizers to increase productivity and reduce environmental impact. In addition, robots can do things like remove weeds and use fewer herbicides.

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    the health

    To find patterns in vast amounts of health data and achieve new medical discoveries and advances in personalized diagnostics, researchers are looking at how to use artificial intelligence in this way.

    Covid-19 vs. Artificial Intelligence.

    Artificial intelligence has been used for thermal imaging at airports and other locations in the case of Covid-19. Diagnosis of infection from computed tomography lung scan can be considered another application used to deal with Covid-19. It also provides data for disease outbreak monitoring.

    The potential of artificial intelligence

    Not long ago, a strange story about artificial intelligence was published in the virtual world, which undoubtedly caused the concern and fear of many users. In an interview about the future of artificial intelligence, one of Google’s senior employees mentioned that the artificial intelligence of robots has been developed to the point of perception. It shows that he can understand a wide range of topics, which Google quickly dismissed by publishing the interview and firing the errant employee.

    This cannot be seriously argued, but if you look at the history of AI in medicine, you will see that it has made great strides in understanding and solving patients’ physical problems. In such a scenario, it is safe to say that if this technology is not implemented in a specific framework, it will undoubtedly lead to many problems in the future. Various forms of artificial intelligence, which today accounts for a significant part of technological progress, have contributed significantly to the development of the field of work.

    Google Lens is a brand-new service that the company recently unveiled. The main feature of this service is that all you have to do to use your smartphone camera to get information is to focus on the object you want to learn more about. Then the artificial intelligence of the lens service will recognize the relevant device, and different results will be shown based on your needs. Since their business future depends on it, Google simply does not accept the risks caused by artificial intelligence in this situation, which has brought significant financial benefits to the company.

    If you want to learn AI in your line of work, you should note that the road ahead will be very challenging as you first need to fully understand your line of work to understand its strengths and weaknesses. After this stage, you must pass many difficult courses and benefit from international experiences to improve your knowledge to work in this field. In addition to the difficulty of learning it, this industry’s high salaries and benefits are undoubtedly a suitable option.

    Learning artificial intelligence without attending university is undoubtedly one of the most important topics that can be raised in the modern era. If you want to learn this technology without any formal training, you need to do your research. It’s important to remember that AI is a more significant threat than you might think, and you should never forget that. Learning the programming language that artificial intelligence has a good relationship with, that is, Python has become one of the main topics in this field. To program in artificial intelligence, you must master this language.

    Join us in the comments to share your thoughts on the various subfields of AI and whether the risks outweigh the benefits.


    The last word.
    Everyone has this thought: “Is artificial intelligence bad for humanity?” When it comes to this field of study. Obviously, machine intelligence can have advantages and disadvantages, and to answer this question objectively, we must remember that every coin has two sides. As the world’s population increases, human intelligence will no longer be sufficient to solve all the world’s problems, and the development of a man-made sixth sense is needed. There is still a lot to learn about AI, and it will take some time to fully understand its potential. Comment your thoughts on this, and let us know what you think.

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