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Topic: Media generation by neural networks Key-words: generation, images, neural networks, creativity Results: 88063 Relevance: Media generation using neural networks is a current and rapidly developing topic that has a significant impact on various fields. AI-powered media generation allows artists and designers to experiment with new art forms, creating unique pieces that were previously impossible. Wei Fan, Jianwen Fang, Gang Huang, An improved image texture synthesis based on algorithm convolution neural network,Physical Communication,Volume 66,2024,102395,ISSN 1874-4907,https://doi.org/10.1016/j.phycom.2024.102395. Maxwell J. Jacobson, Yexiang Xue,Integrating Symbolic Reasoning into Neural Generative Models for Design Generation,Artificial Intelligence,2024,104257,ISSN 0004-3702,https://doi.org/10.1016/j.artint.2024.104257. HeQiang Zhou,Intelligent personalized content recommendations based on neural networks,International Journal of Intelligent Networks,Volume 4,2023,Pages 231-239,ISSN 2666-6030,https://doi.org/10.1016/j.ijin.2023.09.001. Conclusion: Media generation using neural networks is one of the most exciting and rapidly developing areas in the field of artificial intelligence and creativity. Neural networks open up new horizons for creating unique content, including images, music and text. Also, the generation of media by neural networks allows you to explore new forms of expression and interaction with the audience.