Keyword: «neural network technologies»

The article considers an example of creating a program capable of analyzing the price difference for cryptocurrency using neural network technologies. The program is designed to analyze price changes on the cryptocurrency exchange Binance.com. The authors propose to consider an example of the work of such a program. The paper defines the model by which forecasting is carried out, and describes its main properties. The relevance of the article is due to the need to create programs for automatic price analysis when trading on the stock exchange, which allows the trader to save a lot of time and effort.

This study examines the integration of neural network technologies into the educational process of higher education. Examples of the use of neural networks around the world are given, the problems and prospects of this area are considered.

The article is devoted to the analysis of the ethical and pedagogical challenges that arise when integrating neural network technologies into the educational process. The key problems are considered: a decrease in the level of critical thinking, the role of opaque algorithms in the formation of competencies, the place of digital inequality in access to neural network tools, difficulties in maintaining academic honesty. As their problems, recommendations are offered for identifying cheating, training in the use of neural network resources and the formation of a culture of responsible use of neural networks. The results are relevant for general teachers, subject teachers.