FAMILY NEURAL NETWORKS: PRESERVATION AND TRANSMISSION OF MUSICAL HERITAGE OF DYNASTIES

The article addresses the problem of preserving and transmitting the musical heritage of family dynasties in the context of digital transformation. The author proposes an innovative approach based on the use of family neural networks — technologies that integrate genealogical data, multimedia materials, and machine learning methods. Family neural networks are presented as a tool for creating digital archives, analyzing musical creativity, developing educational programs, and establishing virtual museums. Particular attention is given to ethical and legal aspects, including the protection of personal data and intellectual property.The article highlights the significance of family neural networks for strengthening intergenerational ties, preserving cultural identity, and promoting musical art. Recommendations for further research and practical applications of this technology are provided.