Group 1 - The article highlights several upcoming AI events worth participating in, including the Bol Research Intelligent Agent Development Competition and the Yuan Chuang Camp AI Agent Innovation Competition [2][10] - The Bol Research Intelligent Agent Development Competition is organized by Deep Sense Technology, Beijing Science and Intelligence Research Institute, and Shanghai Jiao Tong University, with two phases scheduled from September 11 to October 10, 2025, and October to December 2025 [4] - The Yuan Chuang Camp AI Agent Innovation Competition focuses on AI and interactive entertainment, offering a total prize pool of 1 million yuan, with the first evaluation awarding 200,000 yuan and the second 800,000 yuan [9][10] Group 2 - The S Innovation Monthly Roadshow will take place on October 24, featuring 10 future intelligence projects, with the top two advancing to the S Innovation Shanghai 2026 Science and Technology Conference [11] - The EquatorQ AI Global Future Summit is scheduled for October 17-18, showcasing nearly a hundred industry experts and offering deep discussions on innovative projects and AI research reports [12] - NVIDIA is currently recruiting for its startup acceleration program, providing members with access to free deep learning training, SDKs, and business networking opportunities [14][15]

欢迎关注中国科学院自动化研究所 & 北京中关村学院 & 芝加哥大学 & 西湖大学 & 腾讯带来的科研智能体方面的最新综述调研。 当前基于大语言模型（LLM）的智能体构建通过推动自主科学研究推动 AI4S 迅猛发展，催生一系列科研智能体的构建与应用。然而人工智能与自然科学研 究之间认知论与方法论的偏差，对科研智能体系统的设计、训练以及验证产生着较大阻碍。 与传统综述不同，本篇综述为大家呈现了科研智能体的 「 漫游指南 」 ，旨在提供构建科研智能体的 「 说明指南 」 ：从科学研究的全周期出发，概述了科 研智能体的分级策略，并详细阐述了对应等级的构建策略与能力边界；同时该 「 漫游指南 」 详细阐明了如何从头构建科研智能体，以及如何对科研智能体 的定向能力进行增强。同时 「 指南 」 中详细涵盖了科研智能体的概念阐述、构建方案、基线评估以及未来方向。 希望本 「 漫游指南 」 能启发 AI 研究者与具体自然科学研究者，促进 AI 与自然科学之间的深度融合。 综述的核心贡献如下： 论文地址：https://doi.org/10.36227/techrxiv.175459840.02185500/v1 仓库地址：ht ...