# Automating ML for Science: Can Frontier Agents Climb Scientific Hills in the Wild?

> Толық мәтін ағылшын тілінде

**Published:** 2026 ж. 22 қазан
**Author:** Ming Zhong, Stacy Li, Nicholas Carlini, Matthew Jagielski
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/kk/articles/automating-ml-for-science-can-frontier-agents-climb-scientific-hills-in

arXiv:2610.28763v1 Announce Type: new Abstract: Frontier coding agents are increasingly framed as end-to-end automated researchers, and ML for science offers a demanding test of that promise: improving a scientific model often requires domain insight beyond routine ML…

> Материал бастапқы дереккөзден алынған: **arXiv — cs.AI**
> [Толық мәтінді arXiv — cs.AI сайтында оқу](https://arxiv.org/abs/2610.28763)

**Тегтер:** #Anthropic #arXiv #Hugging Face

---

*AI Qazaqstan — non-commercial informational portal about AI in Kazakhstan. Machine translations and summaries are AI-generated.*