Today in this article we want to talk about Artificial Intelligence and it’s one of the pioneer topics in the technology world.

Artificial Intelligence: Introduction

Artificial Intelligence is one of the oldest achievements in the world of technology, which today plays an important role in all users’ lives.

By hearing or reading the term Artificial Intelligence, various images and sounds are formed in our minds.

some people hear the voices of intelligence assistants such as Siri, Cortana, and Alexa, and others are reminiscent of the terrifying and disturbing images of science fiction films such as Terminator.

More serious movie lovers will most likely remember the innocent face of David’s character in Steven Spielberg’s acclaimed film Artificial Intelligence.

However, Artificial Intelligence has taken root in the minds and thoughts of many of us technology users today. It will be a part of our lives for the foreseeable future.

In computer science, Artificial Intelligence or machine intelligence is the intelligence that comes from any machine (not human).

Reference books in the field of Artificial Intelligence consider this science as the knowledge of studying intelligent agents, which is defined as follows:

“Any device that can understand the environment and activity with the maximum chance of success.”

In general, the term Artificial Intelligence is used to describe machines or computers.

they perform well the cognitive activities associated with the human mind.

Activities that fall into the category of intelligent machine activities change over time, and, as machines become more powerful, some activities are no longer necessarily intelligent.

Tessler’s theory about AI

Tessler’s theory in the definition of Artificial Intelligence states that any achievement that has not been achieved so far is called Artificial Intelligence.

As a result, activities such as character recognition no longer make a machine smarter today.

In the modern world, more complex tasks such as recognizing human speech, competing in strategy games such as chess, and automatically navigating machines define real intelligence in computers.

Human thinking about intelligent machines goes back centuries

AI in academic settings has a history dating back to the mid-twentieth century.

However, human thinking about intelligent machines dates back centuries.

This history has experienced many ups and downs until now, in the 21st century, it’s one of the most important topics of human study and discussion.

The present century, with the dramatic growth of the power of computers and the data available for their education, is the century of the flourishing of Artificial Intelligence.

It has made this scientific subject a necessary part of the technology industry.

History of Artificial Intelligence

Intelligence creatures capable of thinking are found in historical documents from ancient times.

The first definition of such creatures was that they were tools with the ability to tell stories.

Centuries later, examples of smart machines appeared in storybooks such as Frankenstein and R.U.R.

The characters in these stories posed the first challenges to the ethics of AI, and in a way raised concerns.

The field of research on Artificial Intelligence was born in 1956 in a laboratory at Dartmouth College.

John McCarthy removed the field from the subset of cyberneticists such as Norbert Wiener the term Artificial Intelligence was coined by him.

Pioneers and leaders in the field of Artificial Intelligence include Alan Knoll, Herbert Simon, John MaCarthy, Marvin Minsky, and Arthur Samuel.

With the help of their students, they developed programs that the world’s media chose to call “weird”.

Until the mid-1980s there were few successes in the development of advanced Artificial Intelligence

Researchers’ efforts to develop artificial intelligence had not been very successful until the mid-1970s.

as new advances in them created new challenges in the development process.

Meanwhile, wealthy governments such as the United States and Britain have gradually reduced investment in projects.

Since then, a period called the “winter of Artificial Intelligence” has begun; a winter where finding and raising capital for AI projects was the biggest challenge.

The decade of flourishing tangible achievements

The 2010s can be considered the heyday of the achievements of Artificial Intelligence that were felt in everyday human life.

The 2012 faster computers made it possible to improve machine learning by equipping more advanced algorithms and access to larger data sources.

Usage of Artificial Intelligence

One of the most important applications of Artificial Intelligence in the lives of users of the 2010s is the Xbox 360 console and its Kinect tool.

Which after years of research and development made it possible to understand the 3D body structure.

Audio assistants were also added to smartphones increasing the use of new technology in our lives.

Types of Artificial Intelligence

High-level Artificial Intelligence is divided into two types Narrow AI and General AI.

Such a category helps to better understand the concepts and achievements of Artificial Intelligence and its development.

Limited Artificial Intelligence is also known as Weak AI. It’s the intelligence we all see on today’s computers.

Intelligent systems that undermine or automatically learn to perform specific tasks without proprietary planning for those tasks.

Such a kind of intelligence is seen in applications such as sound and language detection in virtual assistants such as Siri.

Other applications of limited artificial intelligence include visual identification systems in automobiles and product proposal engines in online retailers.

Unlike humans, such intelligence systems are only capable of learning limited tasks and are therefore called limited Artificial Intelligence.

Key factors of Artificial Intelligence

Artificial Intelligence today has many subordinate concepts and definitions that are not familiar with some of its key elements:

• “Linear processing” processes enable multiple levels of abstract understanding in the intelligent system.
• Information is processed comprehensively in processes. at each point, the information is first identified depending on the subject and context but contexts that move between and along abstract concepts play an important role in transforming information.
• Classification is one of the main parts of artificial intelligence processes.
• The information graph is constantly changing and uses filters to change that are themselves based on the available information.
• The system now has a level of self-awareness.

The future of artificial intelligence and its impact on the world

The current world approach to the development of robots with the ability to operate automatically.

to perceive and move in the surrounding world reflects the natural overlap that exists between robotics and AI.

Artificial intelligence is one of the many technologies used in robots.

On the other hand, the development of AI has led to the emergence of robots in new areas such as self-driving cars.

The world of technology today is on the verge of jumping to a new stage of AI capabilities.

Today’s neural networks can create real images and even simulate people’s voices with high quality.

Recent news achievements include Deep fake, which doubles the need for more control and regulation over the development of AI.

Conclusion

Artificial Intelligence is now new technology and has been with us for about half a century.

This technology will not disappear soon and will be developed in a way that aims to stay with us.

Concerns about illegal development must also be addressed.

There is no limit to intelligence, however, and some of us may not be so concerned with the future of Skynet’s rule.

We hope you enjoy this article and we would like to you share your thought with us in the comments.