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English(EN) Proof-based general-purpose computing with Magnetar

Microsoft Research 发布 Magnetar，用于更快、通用的零知识证明

作者 PulseAugur 编辑部 · [1 个来源] ·

Microsoft Research 开发了 Magnetar，一个显著提高了通用计算零知识证明实用性的系统。Magnetar 允许用 Rust、Go 和 C 等常用语言编写的程序被证明是正确的，其证明生成速度比以前可比的系统快 10 到 39 倍。这一突破解决了证明效率、无需密码学专业知识的开发者的可用性以及对抗量子密码学基础的依赖性等关键挑战。 AI

影响 为 AI 代理和复杂系统实现可验证计算，增强 AI 输出的信任和透明度。

排序理由 详细介绍零知识证明新系统的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 Microsoft Research 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Microsoft Research 发布 Magnetar，用于更快、通用的零知识证明

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详细介绍零知识证明新系统的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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infra, other
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报道来源 [1]

  1. Microsoft Research TIER_1 English(EN) · Srinath Setty ·

    Magnetar 实现基于证明的通用计算

    <p>Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security.</p> <p>The post <a href=…

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