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### What is Artificial Intelligence? Definition and Basic Concepts

**Artificial intelligence (AI)** refers to the ability of a computer system to mimic human cognitive functions such as learning, problem-solving, and decision-making.
In simple terms, it is the effort to build machines that can perform tasks that normally require human intelligence.
This field includes various techniques, including #Machine_Learning, #Neural_Networks, #Natural_Language_Processing, and #Computer_Vision.
The ultimate goal is to create systems that can operate independently and intelligently.
#Artificial_Intelligence is essentially a computer science that seeks to design and build machines and systems capable of performing tasks that typically require human intelligence.
These tasks include learning, reasoning, problem-solving, understanding natural language, and pattern recognition.
This knowledge is rapidly advancing, and its applications in everyday life and various industries are dramatically increasing.
Understanding the basic concepts of #Artificial_Intelligence is essential for anyone who wants to be active in today’s modern world.
#Artificial_Intelligence is no longer a science fiction concept, but a tangible reality that affects our lives in various dimensions.

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### A Brief History From Beginning to Today

The history of **artificial intelligence** dates back to the 1950s, when scientists such as Alan Turing and John McCarthy proposed initial ideas in this field.
The Dartmouth Conference in 1956 is considered a turning point in the history of #Artificial_Intelligence.
In the 1960s and 1970s, progress was made in the areas of expert systems and natural language processing, but it faced limitations in processing power and available knowledge.
In the 1980s, machine learning emerged as a promising approach, but little progress was made due to a lack of data and computing resources.
In the 2000s, with increasing processing power and access to large data, #Deep_Learning emerged as a powerful method in #Artificial_Intelligence.
Today, #Artificial_Intelligence is used in various fields such as self-driving cars, medicine, marketing, and financial services and is rapidly developing.
This history shows that #Artificial_Intelligence has come a long and winding road and has reached its current position by overcoming various challenges.

### Main Types of Artificial Intelligence: Machine Learning and Deep Learning

**Artificial Intelligence** is generally divided into two main types: #Weak_Artificial_Intelligence (Narrow AI) and #Strong_Artificial_Intelligence (General AI).
#Weak_Artificial_Intelligence is designed to perform a specific task, such as face recognition or language translation.
While #Strong_Artificial_Intelligence seeks to create systems that can think and learn like humans in various fields.
[Machine learning](https://virgool.io/@mostafa.ahmadi/%D9%87%D9%88%D8%B4-%D9%85%D8%B5%D9%86%D9%88%D8%B9%DB%8C-%D8%B6%D8%B9%DB%8C%D9%81-%D9%88-%D9%87%D9%88%D8%B4-%D9%85%D8%B5%D9%86%D9%88%D8%B9%DB%8C-%D9%82%D9%88%DB%8C-%DA%86%DB%8C%D8%B3%D8%AA-q0n8w2u71x4q) is a subset of #Artificial_Intelligence that allows machines to learn from data without explicit programming.
Deep learning is also a subset of machine learning that uses artificial neural networks with many layers to analyze data.
Both machine learning and deep learning play an important role in the advancement of #Artificial_Intelligence and have wide applications in various industries.

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Feature
Machine Learning
Deep Learning

Structure
Typically simpler algorithms
Complex neural networks with many layers

Data needs
Less data
Very large data

Feature extraction
Need for manual feature extraction
Automatic feature extraction

Processing power
Less processing power
High processing power

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Application
Simpler and more specific issues
Complex and non-linear issues

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### Applications of Artificial Intelligence in Everyday Life

The applications of **artificial intelligence** in everyday life are vast and varied.
These applications include voice assistants such as Siri and Alexa, which use natural language processing to understand and respond to voice commands.
Recommendation systems on websites and applications such as Netflix and Amazon use machine learning algorithms to suggest products and content that users are interested in.
In the field of medicine, #Artificial_Intelligence is used in disease diagnosis, drug design, and the provision of personalized care.
Self-driving cars are another important application of #Artificial_Intelligence, which, using sensors and complex algorithms, are capable of driving without human intervention.
These technologies make our lives easier, more efficient, and smarter.
#Artificial_Intelligence is gradually becoming an integral part of our daily lives.

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### What are the Advantages and Disadvantages of Artificial Intelligence?

**Artificial Intelligence** has many advantages, including increased productivity, reduced errors, improved decision-making, and innovative solutions.
However, there are also disadvantages, such as job loss, over-reliance on machines, ethical and security concerns, and the potential for discrimination.
[Artificial_Intelligence](https://techrato.com/artificial-intelligence-pros-and-cons/) can help humans perform repetitive and tedious tasks and free up their time and energy to perform more creative tasks.
However, it should be noted that #Artificial_Intelligence is still in its early stages of development and requires careful monitoring and control to prevent potential problems and dangers.
Also, attention should be paid to the training and retraining of the workforce so that people can adapt to the changes caused by #Artificial_Intelligence and find new jobs in this field.

### Ethical and Social Challenges Associated with Artificial Intelligence

**Artificial Intelligence** poses numerous ethical and social challenges.
One of these challenges is the issue of #Discrimination, as #Artificial_Intelligence algorithms can learn discriminatory patterns based on their training data and use them in their decision-making.
#Privacy is another important concern, as #Artificial_Intelligence requires a lot of personal data to function, and the collection and use of this data can lead to violations of individuals’ privacy.
Also, accountability for #Artificial_Intelligence decisions is a serious challenge, because if an #Artificial_Intelligence system makes a wrong decision, it will be difficult to determine who is responsible.
To address these challenges, appropriate laws and regulations need to be developed in the field of #Artificial_Intelligence, and ethical principles need to be observed in the design and development of #Artificial_Intelligence systems.

### What Expectations Should Be Had for the Future of Artificial Intelligence?

The future of **artificial intelligence** looks very bright and promising.
It is expected that #Artificial_Intelligence will increasingly penetrate our lives in the coming years and create major transformations in various industries.
In the field of medicine, #Artificial_Intelligence can help to diagnose diseases more accurately and quickly and provide personalized treatments.
In the field of education, #Artificial_Intelligence can help to provide education tailored to the individual needs of students.
In the field of transportation, self-driving cars can reduce traffic accidents and improve traffic flow.
However, it should be noted that the development of #Artificial_Intelligence requires continuous investment and effort, and attention should be paid to the ethical and social challenges associated with it.

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Field
Future Expectations

Medicine
More accurate disease diagnosis, personalized treatments

Education
Education tailored to individual needs, adaptive learning

Transport
Reduction of traffic accidents, improvement of traffic

Production
Increase productivity, reduce costs

Customer service
Faster and more accurate response, personalized services

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### How to Learn Artificial Intelligence: Educational Resources and Learning Path

To learn **artificial intelligence**, a variety of educational resources are available.
You can use online courses, books, articles, and practical projects.
Online courses on platforms like [Coursera](https://www.coursera.org/), [edX](https://www.edx.org/), and Udacity can be a good starting point.
Numerous books are also available in the field of #Artificial_Intelligence that you can use.
Scientific articles and specialized blogs can also provide you with up-to-date information.
The most important thing is to do practical projects, because by doing projects you can better understand the concepts and strengthen your skills.
The #Artificial_Intelligence learning path typically includes learning basic concepts of mathematics, statistics, and computer science, familiarizing yourself with machine learning and deep learning algorithms, and doing practical projects.
With effort and perseverance, you can progress in this field and become an #Artificial_Intelligence specialist.

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### Job Positions and Business Opportunities in the Field of Artificial Intelligence

The field of **artificial intelligence** offers numerous job positions and business opportunities.
Some of the popular job positions in this field are data scientist, machine learning engineer, #Artificial_Intelligence engineer, #Artificial_Intelligence analyst, and #Artificial_Intelligence consultant.
Business opportunities in this field are also very diverse, including providing #Artificial_Intelligence consulting services, developing #Artificial_Intelligence software, providing #Artificial_Intelligence solutions for various industries, and creating #Artificial_Intelligence startups.
Given the growing growth of #Artificial_Intelligence, job positions and business opportunities in this field are expected to increase in the coming years.
To succeed in this field, you need to have strong technical skills, creativity, and problem-solving skills.

### The Impact of Artificial Intelligence on the Future of Humanity

**Artificial Intelligence** will have a profound impact on the future of humanity.
#Artificial_Intelligence can help solve major global challenges such as climate change, poverty, and disease.
Also, #Artificial_Intelligence can make our lives easier, more efficient, and more enjoyable.
However, it should be noted that the development of #Artificial_Intelligence requires careful monitoring and control to prevent potential problems and dangers.
Also, attention should be paid to the training and retraining of the workforce so that people can adapt to the changes caused by #Artificial_Intelligence.
Ultimately, the future of humanity depends on how we use #Artificial_Intelligence responsibly and ethically.
#Artificial_Intelligence is a powerful tool that can help improve people’s lives, but it should be used with caution and foresight.

#### FAQ

| Question | Answer |
|—|—|
| What is the definition of Artificial Intelligence (AI)? | It is a field in computer science that aims to create intelligent machines that can think, learn, solve problems, and make decisions like humans. |
| Mention some common AI applications. | They include self-driving cars, voice assistants (such as Siri and Alexa), recommendation systems (such as Netflix and Amazon), facial recognition, and medical diagnosis. |
| What is the difference between Narrow AI (ANI) and General AI (AGI)? | Narrow AI specializes in a single, specific task, while General AI possesses human intellectual ability to perform any cognitive task. |
| What is Machine Learning and its relationship to AI? | Machine Learning is a branch of AI that focuses on developing algorithms that allow systems to learn from data without explicit programming. |
| What are Artificial Neural Networks? | They are computational models inspired by the structure and function of the human brain and are used in deep learning to process data and discover complex patterns. |
| Mention some ethical challenges related to AI. | They include issues of privacy, bias in data and algorithms, job loss, and responsibility in the event of errors or unfair decisions. |
| What is Natural Language Processing (NLP)? | It is a branch of AI that focuses on enabling computers to understand, interpret, and generate human language in a useful and interactive way. |
| How can AI affect the job market? | It can lead to the automation of some routine tasks, requiring workers to be retrained and creating new jobs in the design, development, and maintenance of AI systems. |
| What is Computer Vision? | It is a field in AI that enables computers to “see,” understand, and interpret images and videos in the same way that humans do, enabling them to recognize objects and faces. |
| What is the importance of data in developing AI systems? | Data is the fuel that feeds AI systems, especially in machine learning. The quality and quantity of data significantly affect the accuracy and performance of models and their ability to learn and make correct decisions. |

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#### Resources

[A Guide to Starting Work in Artificial Intelligence on Virgool](https://virgool.io/@arashbahmani/%DA%A9%D8%A7%D9%85%D9%84%E2%80%8C%D8%AA%D8%B1%DB%8C%D9%86-%D8%B1%D8%A7%D9%87%D9%86%D9%85%D8%A7%DB%8C-%D8%B4%D8%B1%D9%88%D8%B9-%DA%A9%D8%A7%D8%B1-%D8%AF%D8%B1-%D8%AD%D9%88%D8%B2%D9%87-%D9%87%D9%88%D8%B4-%D9%85%D8%B5%D9%86%D9%88%D8%B9%DB%8C-s07c1v5z4j6g)
,[Machine Learning with Python – Faradars Training](https://www.faradars.org/courses/fvml96101-machine-learning-with-python)
,[What is Artificial Intelligence? – HubSpot](https://blog.hubspot.com/marketing/what-is-artificial-intelligence)
,[What is Artificial Intelligence (AI)? – IBM](https://www.ibm.com/topics/artificial-intelligence)