{
  "id": 549,
  "url": "https://arxiv.org/abs/2606.28421v2",
  "title": "JuZhou 1.0 Technical Report: The First Edge-Native Text-to-Image Foundation Model Trained Entirely on China-Developed AI Accelerators",
  "summary": "Text-to-image (T2I) diffusion models typically require substantial computational resources and cloud infrastructure, posing significant challenges for edge deployment in terms of latency, cost, and user privacy. We present JuZhou 1.0, an ultra-lightweight T2I foundation model designed for fully offline, on-device execution. JuZhou 1.0 achieves its efficiency through four key designs: (1) a compact image-generation backbone consisting of a 0.385B-parameter denoising U-Net and a 1.90M-parameter di",
  "authors": "Ce Chen, Congrui Wang, Yonglin Li, Zhenchen Wan, Mingyang Geng, Junhao Xiao et al.",
  "category": "research",
  "topics": "privacy-surveillance",
  "orgs": null,
  "regions": "china",
  "published_at": "2026-06-25T17:14:03.000Z",
  "fetched_at": "2026-07-14T14:14:37.247Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/549",
  "original_url": "https://arxiv.org/abs/2606.28421v2",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}