浙大团队开源AI科研智能体Polaris：让AI与你一起做研究

TL;DR - Zhejiang University has open-sourced Polaris, an AI research agent platform that connects literature review, idea generation, experimentation, paper writing, and peer review into a human-supervised workflow.

• Automatically processes arXiv papers into Chinese guides, linked technical summaries, semantic-searchable libraries, and presentations.
• Uses multiple debating AI reviewers and Elo ranking to evaluate research ideas for novelty and feasibility.
• Its experiment agent plans, codes, runs, validates, and iterates GPU experiments while pausing for human decisions.
• Writing and review tools require claims, numerical results, and citations to trace back to recorded experiments and real sources.