The Chinese Academy of Sciences (CAS) unveiled its groundbreaking ScienceOne artificial intelligence model at the 2025 World Artificial Intelligence Conference, positioning it as a transformative tool for accelerating discoveries across mathematics, physics, chemistry, and biology. Designed to overcome systemic challenges in global research ecosystems, this AI platform integrates advanced data analysis, literature processing, and computational tool coordination.
Breaking Down Barriers in Research
ScienceOne addresses critical limitations in current AI-driven research methods by unifying fragmented data systems and enhancing specialized reasoning capabilities. Its architecture combines open-source foundation models with proprietary systems tailored for scientific data types like waveforms and spectra, while integrating specialized tools such as AlphaFold for protein structure prediction.
Cross-Disciplinary Applications
The model demonstrates exceptional performance in:
Automating literature reviews (reducing 3-5 day tasks to 20 minutes)
Optimizing particle physics simulations at Beijing's Electron-Positron Collider
Improving molecular prediction accuracy in chemistry
Coordinating global telescope networks for astronomical research
Real-World Impact
ScienceOne already powers practical innovations including the X-Cell digital cell platform for biological target identification and structural design improvements for high-speed rail systems. Its dual-agent system combines access to 170 million scientific papers with autonomous planning across 300+ computational tools, democratizing access to advanced research capabilities.
CAS researchers emphasize that ScienceOne represents a paradigm shift in scientific methodology, enabling unprecedented collaboration between AI systems and human researchers across fundamental disciplines.
