arXiv Artificial Intelligence

Neural Architecture Discovery via Autonomous Evolution

1 hour ago 09.10.2026 07:00 👁 1 views
Neural Architecture Discovery via Autonomous Evolution

Quick summary

arXiv:2507.18074v2 Announce Type: replace Abstract: Recent progress in LLM agents has advanced the prospect of autonomous research. Yet whether AI can complete difficult long-horizon tasks, especially those that advance AI research itself, remains largely unexplored. We present ASI-Arch, a system for AI-driven AI research that autonomously conducts neural architecture research through a closed-loop research-experiment-analyze-update process. Applied to linear attention, ASI-Arch ran 1,773 iterative experiments and discovered 105 state-of-the-art architectures. Its best architecture improves ov

Key takeaways

  • arXiv:2507.18074v2 Announce Type: replace Abstract: Recent progress in LLM agents has advanced the prospect of autonomous research.
  • Yet whether AI can complete difficult long-horizon tasks, especially those that advance AI research itself, remains largely unexplored.
  • We present ASI-Arch, a system for AI-driven AI research that autonomously conducts neural architecture research through a closed-loop research-experiment-analyze-update process.

Why it matters

“Neural Architecture Discovery via Autonomous Evolution” highlights the need for repeatable measurement rather than a single impressive demonstration. Independent validation across datasets and clearly stated limitations determine whether a result can guide product decisions.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗