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English(EN) End-to-End Neural Modeling of EM Response and Design Performance for Free-Form RFIC Passives

AI模型解决RFIC设计和控制Claude Code权限问题

作者 PulseAugur 编辑部 · [2 个来源] ·

一篇新研究论文详细介绍了一个用于设计射频集成电路（RFIC）无源器件的端到端神经框架。该模型可预测电磁响应和下游设计性能，准确率超过98%，并比传统仿真方法提供了显著的速度提升。此外，一位开发者为Claude Code提出了三种权限预设，以管理其工具使用，涵盖从严格到自主的模式，并强调了其区分安全和破坏性命令的能力存在不足。 AI

影响 AI正被应用于复杂的工程设计问题，并用于改进AI编码助手的安全性和控制机制。

排序理由 该集群包含一篇关于新颖AI应用的研究论文以及对AI模型权限的讨论。

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

AI模型解决RFIC设计和控制Claude Code权限问题

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报道来源 [2]

  1. arXiv cs.LG TIER_1 English(EN) · Yuhao Mao, Chenhao Chu, Martin Vechev, Hua Wang ·

    自由形态射频集成电路无源器件电磁响应与设计性能的端到端神经建模

    arXiv:2610.34462v1 Announce Type: cross Abstract: Passive matching networks are critical components in radio-frequency integrated circuits (RFICs), but their design is bottlenecked by expensive finite-difference-based electromagnetic (EM) simulation. We propose an end-to-end neur…

  2. dev.to — Claude Code tag TIER_1 English(EN) · luijhy michael guerra flores ·

    Claude Code 的 3 个权限预设（严格、平衡、自主）以及它们都无法弥合的差距

    <p>Every "Allow this command?" prompt in Claude Code is a small interruption. Click "always allow" enough times and you end up with a <code>settings.json</code> nobody has read. Here are three presets I keep in <code>.claude/settings.json</code>, from most to least careful, and t…

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