Artificial intelligence
Artificial intelligence (AI) is a field of computer science that deals with creating systems capable of performing tasks that require human intelligence: learning, speech recognition, decision-making and content generation.
Contents
- What is artificial intelligence in simple words
- How artificial intelligence works
- Main stages of AI learning
- Main directions of AI
- 1. Generative AI
- 2. Natural language processing (NLP)
- 3. Computer vision
- 4. Recommendation systems
- Where AI is applied in business
- 1. Financial sector and fintech
- 2. Medicine
- 3. Manufacturing and logistics
- 4. Retail and e-commerce
- How to start using AI
- 1. Free text neural networks
- 2. Neural networks for images
- 3. AI assistants in the phone
- Risks and limitations of AI
What is artificial intelligence in simple words
Artificial intelligence (AI) is the ability of a computer to perform tasks that previously required human participation. AI analyzes millions of gigabytes of data, automates routine work, finds hidden patterns and instantly makes decisions where a person would need weeks.
The main value of AI is the ability to learn from experience and free a person from boring or too complex intellectual work. Modern AI systems can write texts, create images, translate into any language, program and even hold a dialogue like a living person.
According to international analytical agencies, the AI market in 2025 exceeded 500 billion dollars, and by 2030, according to forecasts, will reach 1.8 trillion dollars. More than 70% of companies in the world already use AI in their activities, and this indicator continues to grow.
In Russia, the development of AI is one of the priority directions of state policy. Within the framework of the national AI development strategy until 2030, it is planned to create more than 1000 AI solutions for various sectors of the economy. About how AI is applied in fintech, read the article Fintech.
How artificial intelligence works
The basis of modern AI systems is neural networks — mathematical models that work on the principle of the human brain. They consist of millions of artificial neurons connected to each other. The more neurons and connections between them, the more complex and "smarter" the system.
Main stages of AI learning
- Data collection: The system is provided with huge arrays of information — texts, images, videos, sound. The quality of data directly affects the quality of AI operation.
- Learning: The neural network analyzes data, finds patterns and remembers how input and output data are related. This process can take from several hours to several weeks.
- Testing: The system is checked on new data that it has not seen before. If the accuracy of answers is high, the model is considered trained.
- Refinement: In the course of operation, AI continues to learn on new data, improving its results.
About how machine learning underlies AI, read the article Machine learning.
Main directions of AI
1. Generative AI
This is AI that creates new unique content — texts, images, music, video or code. The most famous examples:
- ChatGPT: A language model from OpenAI that can hold a dialogue, write articles and program.
- YandexGPT: The Russian analogue of ChatGPT, optimized for working with the Russian language.
- Midjourney: A neural network for creating images from a text description.
- Claude: A powerful language model from Anthropic for data analysis and code writing.
2. Natural language processing (NLP)
This is the direction of AI that deals with understanding and generating human language. It is used in chatbots, voice assistants, automatic translations and text analysis. About how chatbots work, read the article Chatbot.
3. Computer vision
AI that "sees" and understands images. It is used in face recognition, medical diagnostics, autonomous vehicles and security systems. About how biometric identification works, read the article Biometrics.
4. Recommendation systems
Algorithms that analyze your preferences and offer content — films, music, goods. They work in video services, music platforms and online stores.
Where AI is applied in business
1. Financial sector and fintech
AI is used to detect fraud (fraud monitoring), assess credit risks, automate document workflow and personalize offers for clients. Banks are actively implementing AI chatbots for 24/7 client service. About how AI helps protect business, read the article Fraud monitoring.
2. Medicine
AI helps doctors make diagnoses from MRI and CT scans, analyze test results, predict the development of diseases and develop new drugs. The accuracy of diagnostics using AI already exceeds the accuracy of some doctors.
3. Manufacturing and logistics
AI optimizes supply chains, forecasts demand, controls product quality and prevents equipment breakdowns using predictive analytics.
4. Retail and e-commerce
AI personalizes offers, optimizes prices, manages warehouse stocks and automates client service through chatbots.
How to start using AI
You can start using AI right now, without special skills. Here are a few ways:
1. Free text neural networks
- ChatGPT: The official website or application. The availability of the service depends on the current legislation of the Russian Federation.
- YandexGPT: Available through the Yandex Browser application or Alisa.
- GigaChat: A Russian neural network from Sber.
- DeepSeek: A powerful Chinese model with excellent logic.
2. Neural networks for images
- Shedevrum: A Russian neural network for image generation.
- Midjourney: One of the best neural networks for art.
- Bing Image Creator: A free generator based on DALL-E 3.
3. AI assistants in the phone
- Galaxy AI: Built-in AI in Samsung smartphones.
- Apple Intelligence: AI functions in iPhone 15 Pro and newer.
- Google Gemini: An AI assistant from Google.
About how to use neural networks at work, read the article Low-code.
Risks and limitations of AI
Despite all the advantages, AI carries certain risks:
- Disinformation (hallucinations): Neural networks tend to present invented facts as real events. Always verify information from several sources.
- Data leak: Entered information can be stored on developers' servers. Do not transmit confidential data to AI.
- Replacement of jobs: Automation can lead to job cuts in some spheres.
- Bias: AI learns from internet data and can inherit human prejudices.
About how to protect your data when using AI, read the article Digital footprint.
Frequently asked questions
What is artificial intelligence in simple words?
Artificial intelligence is smart computer programs that can do what only a person could do before: write texts, draw pictures, translate languages, answer questions. The most famous examples are ChatGPT, Yandex Alisa and neural networks for creating images. About how AI works, read the article Machine learning.
Which AI is the best and free?
The best free AI depends on your tasks: for texts and ideas — ChatGPT, Claude and DeepSeek (with generous limits); for communication in Russian — GigaChat from Sber; for image generation — Bing Image Creator (15 free generations per day). All these services are available online. About how to choose AI for business, read the article Fintech.
Which AI is better to use in Russia?
In Russia, it is better to use domestic neural networks that work without a VPN: GigaChat from Sber, Yandex Alisa (YandexGPT) and Shedevrum for creating pictures. Foreign services (ChatGPT, Claude) may be unavailable for users from the Russian Federation. Familiarize yourself with the current legislation. About how to use neural networks in Russia, read the article Import substitution.
What free neural networks are there for the phone?
The best free neural networks for the phone: ChatGPT (official application), DeepSeek (Chinese chatbot), Shedevrum (image generation from Yandex), GigaChat (from Sber) and Perplexity AI (smart search with sources). All applications are available in Google Play and the App Store. About how mobile AI works, read the article Chatbot.
How is AI different from machine learning?
Artificial intelligence is a general concept of creating "smart" machines. Machine learning is a specific method of creating AI in which the computer learns from data without direct programming. In simple words: AI is the goal, and machine learning is one of the tools for achieving it. Read more about the differences in the article Machine learning.
What is the danger of artificial intelligence?
The main risks of AI: disinformation (neural networks can invent facts), leakage of confidential data, algorithm bias, displacement of jobs and the hypothetical threat of losing control over superintelligence. Never transmit personal passwords, passport data and commercial secrets to AI. About data protection, read the article Digital footprint.
Where to start studying artificial intelligence?
Start by using ready-made AI tools — ChatGPT, Claude, Midjourney. If you want to create your own models, learn Python, linear algebra and probability theory. Free courses are available on Stepik and Coursera. About what skills are needed to work with AI, read the article Machine learning.
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Artificial intelligence
Artificial intelligence (AI) is a field of computer science that deals with creating systems capable of performing tasks that require human intelligence: learning, speech recognition, decision-making and content generation.
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