THE USE OF NEURAL NETWORK TECHNOLOGIES BY TEACHERS OF OLDER AGE GROUPS: A COMPARATIVE ANALYSIS OF REPRESENTATIVES OF MEDICAL AND SOCIOLOGICAL SCIENCES

The article presents the results of an empirical study on the use of neural network technologies by elderly university teachers representing medical and sociological sciences. The study is based on survey data from 524 academic professionals, with a focus on 60 respondents aged 60 and older. Special attention is given to the comparative analysis of digital activity, engagement with generative AI, and preferred tools (GPT, DeepSeek, GigaChat, etc.). The findings show that medical educators are more likely to use neural networks in research, while sociologists integrate them more into teaching practices. The selection of these two disciplines is justified as representative for analyzing digital adaptation in academia. The article concludes with limitations and directions for future research.