{
  "id": 10602333,
  "title": "ADPTNet: Adaptive with Prescriptive Timescales Non-Linear SSM for Sequence Modelling",
  "url": "https://urgent.news/2026/09/27/adptnet-adaptive-with-prescriptive-timescales-non-linear-ssm-for",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-27T23:56:14.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.34034v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "A central aim of neuromorphic computing is to provide a viable alternative to highly energy-intensive Transformer-based AI. However, efficient alternatives struggle to capture the set of qualities that have secured the Transformer's status as the de facto standard in sequence modelling. Any realistic contender must be data-adaptive, able to capture long-range dependencies, and GPU-parallelisable,…",
  "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."
}