Group 1 - The key infrastructure for AI for Science (AI4S) is gradually taking shape, marking the maturity of large-scale, agent-driven scientific research [1][3] - The "Agentic Science at Scale" era has officially begun, as stated by the chief advisor of the Shanghai Jiao Tong University AI Institute during the opening report [3] - The conference introduced core achievements such as the Innovator scientific base model and the SciMaster research agent, aimed at bridging the last mile of intelligent and scalable scientific research through industry-academia-research strategic agreements [1][3] Group 2 - The SciMaster research agent is designed to achieve a closed-loop process in scientific research across all disciplines, providing an "autonomous driving" experience that can match the output of a senior theoretical physics PhD in just 6 hours of operation [3][4] - The Innovator base model 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] - Strategic cooperation agreements were signed between Shanghai Sailande Intelligent Technology Co., Ltd. and other companies to collaborate on research computing power supply and data value mining [4]
AI4S科研基础设施路线图亮相，打通科研智能化“最后一公里”
Di Yi Cai Jing Zi Xun·2026-01-29 12:33