Embrace Open-environment Machine Learning for Robust AI

IF 16.3 1区综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES

National Science Review Pub Date : 2023-11-29 DOI:10.1093/nsr/nwad300

Gang Li, Aswani Kumar Cherukuri

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.

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采用开放环境的机器学习实现鲁棒人工智能

深入了解新颖的OpenML范式，揭示其在动态环境中实现强大AI的变革性方法，塑造具有适应性的自动化机器学习，以实现人工通用智能的突破性进展。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

National Science Review MULTIDISCIPLINARY SCIENCES-

CiteScore

24.10

自引率

1.90%

发文量

249

审稿时长

13 weeks

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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