Original AI

What distinguishes artificial intelligence?

Original AI, apart from its basic functions at work, is distinguished by a set of characteristics, which have enabled its tools and techniques to conquer the world and make a big noise in the field of technology, noting that the basic functions are represented by (engineering features by specifying them nominally and scheduling them – and complex neural networks that extract the data that must be processed – Deep learning via hardware automation), and the other characteristics are, in brief:

• Natural language processing.
• Robots.
• Visualization
• Automate tasks.
• Data awareness
• Simulating human intelligence.
• Statistics.
• Cloud Computing.
• Moral genes.
• Disaster response.

Natural language processing : which enables computers to understand and emulate human language, through NLP applications that translate texts and sounds to extract data and then input it to computers and process it in the way they understand.

Robots : Machines that represent the combination of engineering, science, and technology tasks, which can be harnessed to work on behalf of humans through programming.

Visualization : embodied by sensors in modern technologies. Such as cameras and microphones that capture data, then insert it into special input channels that take it to the place where it is processed electronically to deduce its aspects and transform it into understandable information.

Automating tasks : effectively scheduling repetitive and simple tasks to save effort and time by analyzing artificial intelligence programming languages ​​to obtain information.

Data perception : Artificial intelligence devices can collect a huge amount of data and process it to create knowledge, regardless of its size or number.

Simulating human intelligence : Artificial intelligence can program machines that imitate human cognition to respond to customer requirements via voice or text input programming.

Quantum Statistics : Artificial Intelligence has become the ideal solution to complex quantum physics using quantum neural networks.

Cloud computing : represented by collecting a large amount of data in what is known as the shared cloud, which can be used as an open source collective reference.

Moral genes : Artificial intelligence has been developed and incorporated into medical fields, revolutionizing medical diagnosis based on accurate imaging using several means and intelligent mechanisms.

Responding to disasters : by sensing them with robots and working through them to mitigate their damage and save those affected as much as possible.

What is original artificial intelligence?

Artificial intelligence means the intelligence of machines, robots, or computer tools that can simulate human capabilities and is symbolized by ( AI ).

It is the way in which we provide machines with multiple technologies that enable them to sense data (human capabilities) and program them in languages ​​that help understand and analyze them in the same way and level that humans do. What simplifies the task for the machine is the ability of artificial intelligence systems to understand the reality of environments and contribute to laying the foundations for decision-making. By exploring challenges and providing solutions, and by benefiting from previous learning and experiences by simulating patterns.

Machine learning is considered one of the most prominent practical applications of artificial intelligence, as well as analysing natural languages ​​and translating them into what computers understand. Despite the individual development of any artificial intelligence technology, application on the ground will help achieve general goals, whether by enhancing the data supply mechanism or… Improving customer service.

The concept of artificial intelligence:

• Data sensor.
• Entering data into the computer.
• Processing of data.

The concept of artificial intelligence is summarized in the principle of its sequential work to understand data and simulate it for human intelligence, which is as follows:

Data sensing : Any artificial intelligence tool will include special functional sensors that collect data (which are human capabilities such as texts, sounds, and images).

Entering data into the computer: through methods and channels specific to the machine or tool system, so that it is transferred from the place where it is sensed to the place where it is processed.

Data processing : Since the computer does not understand this data, but it is required to analyze and process it in the manner of humans; Analysis requires programming the computer in a language capable of translating this data, which is represented by “programming algorithms,” which enables the tool or machine to draw conclusions.

Types of artificial intelligence

• Types of artificial intelligence according to the range of capabilities.
• Types of artificial intelligence according to function.

When reviewing any research on artificial intelligence to understand what it is; We will notice that there are several criteria through which the types of artificial intelligence can be determined, such as scope and functions, each of which has its own principle and mechanism. Below we will present the most prominent types according to these two criteria, respectively:

Types of artificial intelligence according to the scope of capabilities : It is divided into three sections as follows:

• Artificial Narrow Intelligence: which is symbolized by (ANI) and is described as weak; It is designed to do things as narrow as a single cognitive ability, such as image recognition software.
  
• Artificial General Intelligence: It is symbolized by (AGI) and is described as powerful, as it can perform several tasks such as learning and thinking, examples of which include quantum computers.
  
• Artificial Super Intelligence: Symbolized by (ASI) and described as a science fiction tool, it is today the basic and highly complex technology in artificial intelligence capable of performing most functions similar to human intelligence, as in modern robots.

Types of artificial intelligence according to function : that is, according to educational capabilities for processing data and interacting with the environment, which are:

• Automated Response: Symbolized by (AI), these are simple interactive machines that represent a response with immediate functions without the ability to store.
  
• Limited memory tools: They are similar to the above, but they are distinguished by their ability to store some data through the prediction feature, while the limited storage capacity is a direct simulation of the function of neurons in the brain.
  
• Mental perception of emotions: These are tools that provide techniques capable of capturing and understanding emotions or predicting them or possible future actions based on the captured data.
  
• Self-aware artificial intelligence tools: These are tools that are able to understand reality without including data in it, which represents the desired goal of artificial intelligence.

Disadvantages of artificial intelligence:

• High costs.
• Lack of passion and creativity.
• Gradual erosion.
• Promoting unemployment.
• Moral decadence.

Artificial intelligence is a double-edged sword, which must be invested carefully to avoid potential defects and negatives of incorrect use, which result in risks that are best avoided, which are, in brief, the following:

High costs : One of the most severe drawbacks of artificial intelligence is that obtaining or developing its tools over time will require a large amount of capital. Some may be misled by the fact that the initial cost is hidden or unknown, but later on it will be very high.

Lack of emotion and creative sense : These are among the basic influences in the decision-making mechanism. The loss of creativity and its means will make smart tools incapable of understanding artificial intelligence problems and their solutions within advanced technical fields. Human decision-making is also dependent on emotional consequences that do not exist with these tools.

Gradual Wear: Because its tools become damaged over time unless they are programmed to perform self-repairing tasks, they will eventually wear out and become damaged.

Lack of development of expertise : Humans learn from their personal mistakes during experiments, but artificial intelligence tools will repeat mistakes unless their programming or the way they translate data is modified.

Promoting unemployment : If artificial intelligence tools replace humans in performing tasks, workers will be laid off and job opportunities will be reduced.

Moral decay : Potential ethical problems with the spread of artificial intelligence tools are becoming more and more severe, and the most prominent of these concerns are the infringement of privacy and the violation of sanctities and personal data.