{
  "id": 1403376,
  "title": "LP-NAS: Linear Programming-based Neural Architecture Search",
  "url": "https://urgent.news/2026/08/14/lp-nas-linear-programming-based-neural-architecture-search",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-14T16:53:11.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.14472v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Neural Architecture Search (NAS) aims to automate neural network architecture design, reducing reliance on human expertise. Among the various NAS methods, differentiable NAS has gained prominence due to its efficiency and accuracy compared to conventional NAS approaches. Since differentiable NAS relaxes the architecture search space into a continuous domain, it is possible to apply principles…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}