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人工智能的计算差距：学术界无法获得研究所需的强大芯片

IF 50.5 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Nature Pub Date : 2024-11-20 DOI:10.1038/d41586-024-03792-6
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引用次数: 0

摘要

调查凸显了学术界和工业界科学家在获得训练机器学习模型所需的计算能力方面的差距。
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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AI’s computing gap: academics lack access to powerful chips needed for research
Survey highlights disparity between academic and industry scientists’ access to computing power needed to train machine-learning models.
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来源期刊
Nature
Nature 综合性期刊-综合性期刊
CiteScore
90.00
自引率
1.20%
发文量
3652
审稿时长
3 months
期刊介绍： Nature is a prestigious international journal that publishes peer-reviewed research in various scientific and technological fields. The selection of articles is based on criteria such as originality, importance, interdisciplinary relevance, timeliness, accessibility, elegance, and surprising conclusions. In addition to showcasing significant scientific advances, Nature delivers rapid, authoritative, insightful news, and interpretation of current and upcoming trends impacting science, scientists, and the broader public. The journal serves a dual purpose: firstly, to promptly share noteworthy scientific advances and foster discussions among scientists, and secondly, to ensure the swift dissemination of scientific results globally, emphasizing their significance for knowledge, culture, and daily life.
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