{
  "title": "Daily Research Brief 2026-06-26",
  "url": "/en/posts/research-brief-2026-06-26/",
  "permalink": "https://hackcv.com/en/posts/research-brief-2026-06-26/",
  "date": "2026-06-26",
  "lastmod": "2026-06-26",
  "author": "",
  "description": "Daily research brief — AI / LLM / Agent / Computer Vision / Audio-Video / Engineering",
  "categories": ["Research Brief"],
  "tags": ["AI","LLM","Agent","Computer Vision","Audio-Video","Engineering","Daily Brief"],
  "cover": "https://picsum.photos/seed/daily-research-brief-2026-06-26/1200/675",
  "readingTime": 1,
  "wordCount": 179,
  "content": "\u003ch1 id=\"daily-research-brief-2026-06-26\"\u003eDaily Research Brief 2026-06-26\u003c/h1\u003e\n\u003cp\u003e📊 Token usage: estimated from retrieval and writing scale.\u003c/p\u003e\n\u003cp\u003eCovers the latest AI research, open source and industry moves, updated daily.\u003c/p\u003e\n\u003chr\u003e\n\u003ch2 id=\"editors-note\"\u003eEditor\u0026rsquo;s Note\u003c/h2\u003e\n\u003cp\u003eOpenAI released its first self-developed inference chip, Jalapeño, fabbed by Broadcom with far better efficiency than existing solutions; Qualcomm acquired Modular for $3.92B, challenging Nvidia\u0026rsquo;s CUDA monopoly. On the paper side: TransPrune\u0026rsquo;s 60% inference speedup, DeepSeek V4\u0026rsquo;s 92% linear scaling on Ascend, and CXMT\u0026rsquo;s 3D-stacked HBM.\u003c/p\u003e\n\u003ch2 id=\"1-latest-arxiv-papers\"\u003e1. Latest arXiv Papers\u003c/h2\u003e\n\u003col\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eEmergent Topic Detection LLM for Service Feedback, Improving Public Service Fairness\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2606.26595\"\u003ehttps://arxiv.org/abs/2606.26595\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eTransPrune: Tracking Visual Token Evolution for Lossless Compression with 60% Inference Speedup (CVPR 2026)\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2507.20630\"\u003ehttps://arxiv.org/abs/2507.20630\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eICML 2026 Position Paper: Universal Aesthetic Alignment Is Narrowing the Expressive Diversity of AI-Generated Art\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2512.11883\"\u003ehttps://arxiv.org/abs/2512.11883\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eDeepSeek V4 Completes Thousand-Card Training on Ascend — 92% Linear Speedup\u003c/strong\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eCXMT SPHBM4 Technical Paper: 3D-Stacked HBM with 80% Higher Bandwidth, 50% Better Efficiency\u003c/strong\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eA Safety Framework for Multi-Agent Collaboration — 99.7% Attack Interception\u003c/strong\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eEdge Federated Learning Optimization: Data Stays Local with \u0026lt;2% Accuracy Loss\u003c/strong\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eZero-Shot Sim-to-Real Transfer for Embodied AI — 35% Higher Transfer Success\u003c/strong\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ol\u003e\n",
  "summary": "Daily Research Brief 2026-06-26 📊 Token usage: estimated from retrieval and writing scale.\nCovers the latest AI research, open source and industry moves, updated daily.\nEditor\u0026rsquo;s Note OpenAI released its first self-developed inference chip, Jalapeño, fabbed by Broadcom with far better efficiency than existing solutions; Qualcomm acquired Modular for $3.92B, challenging Nvidia\u0026rsquo;s CUDA monopoly. On the paper side: TransPrune\u0026rsquo;s 60% inference speedup, DeepSeek V4\u0026rsquo;s 92% linear scaling on Ascend, and CXMT\u0026rsquo;s 3D-stacked HBM.\n"
}