{
  "id": 17905455,
  "title": "EMG-Hybrid: A Dual-Engine Elite Memory--Guided Adaptive Optimization Framework for High-Dimensional Feature Selection",
  "url": "https://urgent.news/2026/10/31/emg-hybrid-a-dual-engine-elite-memory-guided-adaptive-optimization",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-31T17:30:44.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2611.01140v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Feature selection in ultra-high-dimensional, noisy datasets remains a critical challenge due to exponential search space growth, where conventional binary metaheuristics often suffer from premature convergence. To address this, EMG-Hybrid is introduced as a novel three-level hierarchical optimization architecture designed around decoupled operational planes, feedback-driven scheduling, and…",
  "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."
}