{"title":"为创新提供动力：生成式人工智能的综合影响","authors":"Shaun Poland, Siddhartha Sharad, Gus Wigen-Toccalino","doi":"10.1002/gas.22385","DOIUrl":null,"url":null,"abstract":"<p>Understanding the role of Generative Artificial Intelligence (GenAI) in the energy and utility sector necessitates distinguishing it from traditional AI applications. AI generally encompasses machine capabilities for tasks that require human intelligence, such as discerning patterns and making decisions. GenAI is a specialized subset of AI and goes further, by creating entirely new content—text, images, or data—through learning from existing datasets and generating new, unique outputs (Figure 1).</p>","PeriodicalId":100259,"journal":{"name":"Climate and Energy","volume":"40 7","pages":"1-11"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Powering Innovation: The Comprehensive Impact of Generative AI\",\"authors\":\"Shaun Poland, Siddhartha Sharad, Gus Wigen-Toccalino\",\"doi\":\"10.1002/gas.22385\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Understanding the role of Generative Artificial Intelligence (GenAI) in the energy and utility sector necessitates distinguishing it from traditional AI applications. AI generally encompasses machine capabilities for tasks that require human intelligence, such as discerning patterns and making decisions. GenAI is a specialized subset of AI and goes further, by creating entirely new content—text, images, or data—through learning from existing datasets and generating new, unique outputs (Figure 1).</p>\",\"PeriodicalId\":100259,\"journal\":{\"name\":\"Climate and Energy\",\"volume\":\"40 7\",\"pages\":\"1-11\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Climate and Energy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/gas.22385\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Climate and Energy","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/gas.22385","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Powering Innovation: The Comprehensive Impact of Generative AI
Understanding the role of Generative Artificial Intelligence (GenAI) in the energy and utility sector necessitates distinguishing it from traditional AI applications. AI generally encompasses machine capabilities for tasks that require human intelligence, such as discerning patterns and making decisions. GenAI is a specialized subset of AI and goes further, by creating entirely new content—text, images, or data—through learning from existing datasets and generating new, unique outputs (Figure 1).
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