{"title":"图书出版行业中的神经网络","authors":"Liubov V. Zimina","doi":"10.25281/2411-2305-2023-2-48-66","DOIUrl":null,"url":null,"abstract":"The article deals with artificial intelligence (AI) technologies in the publishing industry. Some modern generative neural network (NN) models are able to create different types of content: from text generation (GPT-3, Balaboba) to its visualization (Dall-E 2, Midjourney, Stable Diffusion, Russian DALL-E, Dream, etc.). Both the early cases of NN applications in book publishing and the latest ones due to the release in 2022 of new AI models that provoked a discussion about the creative revolution are discussed. Special attention is paid to the problems of authorship and copyright protection.","PeriodicalId":270261,"journal":{"name":"Bibliography and Bibliology","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Neural Networks in the Book Publishing Industry\",\"authors\":\"Liubov V. Zimina\",\"doi\":\"10.25281/2411-2305-2023-2-48-66\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article deals with artificial intelligence (AI) technologies in the publishing industry. Some modern generative neural network (NN) models are able to create different types of content: from text generation (GPT-3, Balaboba) to its visualization (Dall-E 2, Midjourney, Stable Diffusion, Russian DALL-E, Dream, etc.). Both the early cases of NN applications in book publishing and the latest ones due to the release in 2022 of new AI models that provoked a discussion about the creative revolution are discussed. Special attention is paid to the problems of authorship and copyright protection.\",\"PeriodicalId\":270261,\"journal\":{\"name\":\"Bibliography and Bibliology\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-08-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bibliography and Bibliology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.25281/2411-2305-2023-2-48-66\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bibliography and Bibliology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25281/2411-2305-2023-2-48-66","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The article deals with artificial intelligence (AI) technologies in the publishing industry. Some modern generative neural network (NN) models are able to create different types of content: from text generation (GPT-3, Balaboba) to its visualization (Dall-E 2, Midjourney, Stable Diffusion, Russian DALL-E, Dream, etc.). Both the early cases of NN applications in book publishing and the latest ones due to the release in 2022 of new AI models that provoked a discussion about the creative revolution are discussed. Special attention is paid to the problems of authorship and copyright protection.
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