The session of ScienceOne, produced by the Institute of Automation, Chinese Academy of Sciences, is organized to promote the co-building of an open, shared, and platform-driven AI for Science ecosystem with global partners.

In this session, Prof. LIU Qiang will introduce the concept of AI-Ready Data for AI for Science (AI4S), highlighting key attributes like representativeness, completeness, and low redundancy. It presents a data preparation pipeline involving cleaning, alignment, and annotation. The talk also covers the ScienceOne methodology, which integrates modality-specific models with LLMs and chain-of-thought reasoning to improve scientific tasks such as material property prediction and molecular verification. Case studies on spectral data understanding show over 99% accuracy in molecular structure reconstruction.

About the ANSO Science Lecture Series

The ANSO Science Lecture Series will feature distinguished scientists, industry leaders, and science policymakers who will present the latest scientific achievements, innovative technologies, and practical methodologies. It provides a platform for knowledge sharing and exchange, enabling member institutions and early-career researchers to gain insights into global scientific trends, foster collaborative innovation, and work together to address common global challenges.