On the threshold of a new technological revolution, we are witnessing the rapid growth and development of neural networks. More and more companies and specialists are integrating them into their activities, and this is already having a significant impact on various areas of human life. Every day, neural networks are becoming more complex and advanced to the point that they can compete with humans in various areas.
What is a neural network and where is it used?
A neural network is an artificial intelligence (AI) model that imitates the structure and functioning of the human brain. It consists of many interconnected nodes that process information and learn based on the data received. This allows neural networks to adapt and integrate into the following areas of human life:
- Business
In the business sphere, neural networks help entrepreneurs around the world optimize their company processes: they identify patterns, trends and market prospects, automate routine tasks and offer personalized recommendations for users and clients.
For example, a Russian company announced the launch of an analogue of the ChatGPT neural network that has made a lot of noise around the world – SistemmaGPT. The main objective of the model is to integrate artificial intelligence into business processes. The neural network can analyze large amounts of data and find insights, communicate with clients as a virtual assistant, create a personalized recommendation system, automatically process orders and incoming calls, manage a warehouse, and much more.
- Medicine and Healthcare
Neural networks are used in medicine all over the world, and Russia is no exception. Today, they are becoming full-fledged assistants to Russian doctors, helping to predict the development of diseases and anomalies, process and decipher images of radiation studies, analyze genetic data to identify a patient’s predisposition to diseases, and determine the most effective treatment, drug dosages, and possible side effects.
However, the neural network only acts as an assistant for medical professionals and cannot completely replace a person in the field of healthcare. Diagnosis and treatment often require flexible thinking, empathy and experience, which are unattainable for artificial intelligence. The final decision on treatment always remains with the doctor.
- Science and Research
In the field of science and research, neural networks are already helping scientists analyze and interpret complex data sets, design and synthesize new materials, and discover patterns that can be directly related to new discoveries. For example, scientists from Petrozavodsk State University and their foreign colleagues have developed an algorithm based on artificial intelligence. The program allows you to quickly determine whether the SARS-CoV-2 infection is present in the human body.
However, despite the successes in this area, neural networks cannot completely replace scientists, as they are not capable of critical thinking, formulating hypotheses and creating new ideas. Artificial intelligence can be a valuable tool in the hands of a scientist, but it is the human being who is behind scientific discoveries and theories.
- Education
Neural networks help create individual learning plans for students and provide feedback in real time. For example, back in 2017, the Parla project was created – an application for learning English, in which artificial intelligence is involved. The service adapts to the student and learns together with him. Already at the stage of registration in the application, the program can analyze data from social networks and offer an individual training program based on the interests of a particular person. Thus, the user receives information that best suits his needs and goals.
Despite the advances in this area, neural networks cannot completely replace teachers, as human contact and live interaction are important aspects of the educational process. However, they can become assistants for both teachers and students, freeing up time for individual studies.
In what ways is a neural network inferior to a human?
Neural networks, although they demonstrate amazing results, still have certain limitations.
- Firstly, neural networks have specialized skills and knowledge, while the human brain is able to process and analyze information from different areas.
- Secondly, neural networks cannot have emotions and empathy, which are key human qualities. They lack emotional intelligence and empathy, which makes them less suited to performing tasks related to human interactions.
- The third main difference between humans and neural networks is creativity. Although neural networks can generate certain types of content, their creative abilities are limited by the data they were trained on. Humans, on the other hand, have a unique ability to combine ideas from different fields, create something new, and go beyond existing patterns.
What is the conclusion?
Today, neural networks are a powerful tool that can significantly improve human life and help solve complex problems in business, science, manufacturing, medicine and other areas. Neotech, along with other global and domestic companies, is trying to implement an innovative approach to solving a number of problems.