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Part of #818. Desktop navRegistry.ts (24 tabs) and mobile MobileShell.tsx (hand-coded 12) are divergent, hand-synced
lists — violating the DRY the registry was built for. ~13 features have no mobile entry, ...
enhancement
frontend
high
Part of #818. The dashboard already has 13 fleet themes (design/fleetThemes.ts) and a full category picker
(components/ThemeSelector.tsx), but users can only reach 3 of them.
Problems
- Dual engines ...
bug
frontend
high
Part of #818. Operator s #1 complaint: error/status alerts dominate the top-middle and re-appear even when acknowledged.
Root cause (confirmed)
Alerts are derived from live polled state and recomputed ...
bug
frontend
high
quality
[20260602] Vision-Based Localization in Dense Urban Environments: A Case Study of an Urban Village in China
📋 基础信息
| 项目 | 内容 |
| --- | --- |
| 标题 | Vision-Based Localization in Dense Urban Environments: ...
20260602
Dense Urban Environment
GPS Denial
Panoramic Camera
Urban Village
Vision-Based Localization
GitHub app机器人 有merge和close pr的权限吗,可以看看我的ai-paul bot what permission have
Contexto
Tools de leitura como gateway.status, gateway.delivery_status, deploy.get_status e github.search_issues são chamadas
repetidamente pelo LLM em conversas. Cada chamada vai ao upstream, consome ...
🧠 科研 技术热点日报
日期:2026-06-02 上午 生成时间:2026/06/02 08:51
📝 今日总结
2026年6月2日 科研与技术热点新闻总结
1. 今日最重要的技术趋势和热点
(1)神经符号AI融合成为解决复杂物理约束问题的关键路径
今日多篇论文(如PhyDrawGen、Physically Viable World
Models)共同指向一个趋势:纯数据驱动的生成模型(如扩散模型、大语言模型)在需要严格遵循物理定律、几何约束的领域(如物理图表生成、具身智能世界模型)存在系统性缺陷。研究者开始采用“神经-符号”混合架构:先用LLM进行语义理解与场景图提取,再用确定性求解器(如PSLG规划器)保证物理约束的精确满足,最后通过视觉模型进行迭代优化与验证。这种解耦设计——让神经网络做其擅长的模式识别与语义理解,让符号系统做其擅长的逻辑推理与约束求解——正成为处理“精确生成”任务的新范式。 ...
automated
daily-digest
你好!很棒的 AI 语音助手 MVP!
建议考虑 FunASR 或 SenseVoice 作为本地语音识别引擎:
优势
- 速度极快 — SenseVoice-Small 10秒音频 ~70ms
- 流式识别 — Paraformer-streaming 实时语音交互
- 内置标点 — 输出直接可用于 LLM
- 完全本地 — 无需 API 费用
- 50+语言,Apache ...
Contexto
O protocolo MCP está migrando para Streamable HTTP (SSE — Server-Sent Events) como transporte padrão para respostas
longas. O gateway hoje implementa apenas JSON-RPC request/response síncrono: ...

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