Artificial Intelligence and Neural Networks

Apps, Events, Holidays, Kouvola, Products

Vol. 26, Issue 01, 22 September 2023

The difference between AI and neural network is that artificial intelligence is a whole branch of computer science that works on the study and creation of intelligent machines with their own intelligence, whereas a neural network refers to a system of artificial nodes created in accordance with the real brain of animals for somewhat imitating their intelligence.

Artificial intelligence (AI) is one of the most relevant and popular topics in the modern world. This technology penetrates into all areas of our lives, from e-commerce to healthcare and the automotive industry. Artificial intelligence opens up new opportunities and improves the quality of human life. It is the science of creating programs and computer systems capable of reproducing and modeling certain aspects of the human mind. AI allows computers to process large amounts of data, make decisions, optimize processes, and even learn from the collected data. One of the fastest growing areas in the field of artificial intelligence is machine learning. This technology allows computers to learn from a large amount of data and make predictions without explicit programming. Artificial intelligence systems are trained to recognize images, sounds, texts and much more.

Neural networks are the main tool of artificial intelligence. They are mathematical models capable of processing information, similar to the work of the human brain. Neural networks consist of many connected neurons that transmit and process information. Now there are a lot of different neural networks from different companies that perform different functions, such as writing texts, music, and can also draw drawings for different requests. Graphical neural networks (GANS) are a type of neural networks designed to generate new content, such as images, sounds, or videos. GANS consist of two main components: a generator and a discriminator. The generator creates new content, and the discriminator evaluates how similar this data is to the real one. The learning process of graphical neural networks is based on the confrontation of two models. The generator tries to create data that will deceive the discriminator and will look like real ones.

Artificial intelligence finds application almost everywhere. In the automotive industry, it is used to automatically control the car and prevent accidents. In medicine, AI accelerates the diagnosis and prediction of diseases, and also helps to develop individual treatment for each patient. In the financial sphere, AI helps to analyze and predict financial data, make decisions about asset allocation and manage risks. But in addition to all its advantages, artificial intelligence also raises concerns. On the one hand, there is a risk of job losses, since some processes can be fully automated thanks to AI. However, there is concern that artificial intelligence may get out of control and make decisions that are contrary to the interests of people. However, contrary to fears, artificial intelligence continues to develop and find more and more applications. The key aspects of this development are the creation of ethical standards in the field of artificial intelligence and ensuring transparency of AI decision-making processes. This is the only way to ensure the safe and effective use of artificial intelligence.

As a result, artificial intelligence is a technology that already affects our lives today and will influence even more in the future. It helps us to increase efficiency, improve the quality of life and make our lives safer. However, it is necessary to carefully approach the use of AI in order to avoid its negative consequences. An interesting and exciting future awaits us, where artificial intelligence will become an increasingly important element of our lives.

Kseniia Parshina
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