Beyond Equation Search: Conjecture-Guided Discovery with SCOPE and ClosureBench
This story is from 2026-10-15. It is preserved in the archive; the latest stories are on the live feed.
arXiv:2610.18938v1 Announce Type: new Abstract: Most symbolic regression methods optimize candidate equations, but improving an equation's fit does not establish whether its underlying scientific conjecture should be retained, revised, or rejected. A conjecture may admit multiple mathematical reali…
Read the full story at arXiv cs.AI ↗
Timeline · 1 report
- 2026-10-15 04:00 · arXiv cs.AI
Beyond Equation Search: Conjecture-Guided Discovery with SCOPE and ClosureBench
More stories
- Meta releases 816B Muse Spark Open; NVIDIA launches Nemotron 3.5 models — AWS Machine Learning Blog
- Meta and Apple Partner to Bring Open-Weight Muse AI Model to Macs — Wall Street Journal Technology
- Hugging Face details 2.8 trillion token Indic pretraining pipeline — Hugging Face Blog
- Black Forest Labs releases open-weight FLUX.3 Klein image model — Hugging Face Blog
- Hong Kong launches embodied AI hub to boost robotics sector — South China Morning Post Tech
- Microsoft and Nvidia launch RTX Spark laptops optimized for AI — NVIDIA Blog
- Microsoft unveils MAI-Base-2 MoE model with 2.8T parameters — Techmeme
- Liquid AI releases d1-ultra multimodal decision model — Vercel Blog
Get the daily brief of stories like this at 6:30 every morning →