Core Insights - The article discusses the emergence of key infrastructure for AI for Science (AI4S), indicating that the time for scalable, agent-driven scientific research has matured [3]. Group 1: Event Overview - A seminar titled "Agentic Science at Scale" was held on January 29, co-hosted by Shanghai Jiao Tong University and the Shanghai Algorithm Innovation Research Institute, where core achievements like the Innovator model and SciMaster research agent were presented [3][4]. - The seminar featured a keynote speech by Academician E Wei Nan, who outlined the foundational capabilities and implementation paths for the era of intelligent and scalable scientific research [3]. Group 2: Key Developments - The SciMaster research agent, presented by Associate Professor Chen Siheng, aims to achieve a closed-loop process in scientific research across all disciplines, providing an "autonomous driving" experience with capabilities that can match the work output of a seasoned theoretical physics PhD in just 6 hours [4]. - The Innovator model, introduced by Assistant Professor Zhang Linfeng, achieves three goals: multi-modal scientific perception, scientific reasoning, and scientific tool invocation, supporting over 20 scientific modalities and demonstrating superior general visual understanding capabilities [4]. Group 3: Strategic Collaborations - Strategic cooperation agreements were signed between Shanghai Sairande Intelligent Technology Co., Ltd. and other companies, focusing on research computing power supply and data value mining [4].