{"title":"Embrace Open-environment Machine Learning for Robust AI","authors":"Gang Li, Aswani Kumar Cherukuri","doi":"10.1093/nsr/nwad300","DOIUrl":null,"url":null,"abstract":"Dive into the novel OpenML paradigm, unveiling its transformative approach to robust AI in dynamic environment, shaping Automated Machine Learning with adaptability for ground breaking advancements towards Artificial General Intelligence.","PeriodicalId":18842,"journal":{"name":"National Science Review","volume":null,"pages":null},"PeriodicalIF":16.3000,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"National Science Review","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1093/nsr/nwad300","RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Dive into the novel OpenML paradigm, unveiling its transformative approach to robust AI in dynamic environment, shaping Automated Machine Learning with adaptability for ground breaking advancements towards Artificial General Intelligence.
期刊介绍：
National Science Review (NSR; ISSN abbreviation: Natl. Sci. Rev.) is an English-language peer-reviewed multidisciplinary open-access scientific journal published by Oxford University Press under the auspices of the Chinese Academy of Sciences.According to Journal Citation Reports, its 2021 impact factor was 23.178.
National Science Review publishes both review articles and perspectives as well as original research in the form of brief communications and research articles.
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