Core Viewpoint - In 2025, large models are transitioning from laboratories to practical applications across various industries, showcasing significant breakthroughs in multiple scientific fields, including quantum computing, life sciences, materials science, earth sciences, and deep space astronomy [1][2]. Breakthrough Achievements - The world's first AI-based quantum computing neutral atom arrangement algorithm was developed, capable of arranging 2024 quantum bits in 60 milliseconds, overcoming traditional time constraints associated with increasing atom numbers [5]. - The first multi-agent virtual disease scientist system, "OriGene," was introduced, which can automatically discover and validate new treatment targets for cancers, establishing a complete intelligent process from data to verification [6]. - The first single-cell DNA methylation model, scDNAm-GPT, was launched, achieving over 90% accuracy in early detection of various cancers and respiratory diseases using blood samples [7]. - The "Fengdeng" breeding model was established, marking a breakthrough in China's seed industry technology, with over 100 breeding units already testing its applications [8]. - An intelligent scientific discovery system for condensed matter science was released, achieving practical-level standards for new copper-based superconducting materials [9]. - The EarthLink AI Earth scientist system was developed, significantly enhancing research efficiency by 160 times through automated experimental design and data analysis [10]. - An AI tracking system for space debris was created, improving tracking accuracy by 70% compared to traditional methods [11]. - The ChemBOMAS multi-agent system optimized chemical reactions, reducing precious metal catalyst usage by 90% and increasing yield from 20% to 96% [12]. - The RNA virus language model, Viracle, was introduced, providing high-precision predictions for RNA viruses, with over 95% accuracy for human viruses [13]. - A 3D aircraft generation agent was developed, streamlining the aircraft design process through natural language interaction and rapid concept generation [14]. Future Directions - The Shanghai AI Laboratory plans to continue advancing the integration of specialized technologies to address key scientific discovery challenges, leveraging the "Shusheng" scientific discovery platform for innovation [15].